KEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. In …
classification, clustering, multivariate, regression, text, univariateThe most important feature of this dataset is its simplicity to use and its being well-documented, which can be widely used in various studies of text ana…
classification, multivariate, regression, textA chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The ac…
classification, multivariate, regression, time-seriesAIMS AND PURPOSES This corpus is intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised learni…
classification, multivariate, regressionKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. In …
classification, clustering, multivariate, regression, text, univariateThis data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social a…
classification, multivariate, regressionIndoor localisation is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologie…
classification, clustering, multivariate, regression, sequential, time-seriesThe two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. For more details, consult: [Web Link] or the reference [Corte…
classification, multivariate, regressionThe PD and control handwriting database consists of 62 PWP (People with parkinson) and 15 healthy individuals who appealed at the Department of Neurology …
classification, clustering, multivariate, regressionThe main goal of this data set is providing clean and valid signals for designing cuff-less blood pressure estimation algorithms. The raw electrocardiogra…
classification, multivariate, regressionThe experiments have been carried out with a group of 115 students of first-year, undergraduate Engineering major of the University of Genoa. We carried…
classification, clustering, multivariate, regression, sequential, time-seriesEach record represents follow-up data for one breast cancer case. These are consecutive patients seen by Dr. Wolberg since 1984, and include only those c…
classification, multivariate, regressionCollect the real time readings for residential,commercial,industrial,agriculure,to find the accuracy consumption in Tamil Nadu Around Thanajvur
classification, clustering, multivariate, regressionProvide all relevant information about your data set.
classification, multivariate, regressionIndoor localization is a key topic for mobile computing. However, it is still very difficult for the mobile sensing community to compare state-of-art Indo…
classification, clustering, multivariate, regression, sequential, time-seriesThe measured data was collected using a chemical sensing system based on an array of 16 metal-oxide gas sensors and an external mechanical ventilator to s…
classification, multivariate, regression, time-seriesData is collected from imkb.gov.tr and finance.yahoo.com. Data is organized with regard to working days in Istanbul Stock Exchange.
classification, multivariate, regression, time-series, univariateThis data set contains the acquired time series from 16 chemical sensors exposed to gas mixtures at varying concentration levels. In particular, we genera…
classification, multivariate, regression, time-seriesOpen University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) fo…
classification, clustering, multivariate, regression, sequential, time-seriesThis data set contains 13,910 measurements from 16 chemical sensors exposed to 6 gases at different concentration levels. This dataset is an extension of …
causa, classification, clustering, multivariate, regression, time-seriesThis dataset includes the recordings of five replicates of an 8-sensor array. Each unit holds 8 MOX sensors and integrates custom-designed electronics for…
classification, domain-theory, multivariate, regression, time-seriesMany real world applications need to know the localization of a user in the world to provide their services. Therefore, automatic user localization has be…
classification, multivariate, regressionThe dataset is composed by two tables. The first table go_track_tracks presents general attributes and each instance has one trajectory that is represente…
classification, multivariate, regressionA description of the underlying Cargo 2000 standard and the processes reflected in the data set can be found at [Web Link].
classification, multivariate, regression, sequentialThe DrivFace database contains images sequences of subjects while driving in real scenarios. It is composed of 606 samples of 640480 pixels each, acquired…
classification, clustering, multivariate, regression* The articles were published by Mashable (www.mashable.com) and their content as the rights to reproduce it belongs to them. Hence, this dataset does not…
classification, multivariate, regressionThe dataset was built from a personal collection of 1059 tracks covering 33 countries/area. The music used is traditional, ethnic or `world' only, as cla…
classification, multivariate, regressionWe perform energy analysis using 12 different building shapes simulated in Ecotect. The buildings differ with respect to the glazing area, the glazing are…
classification, multivariate, regressionSamples (instances) are stored row-wise. Variables (attributes) of each sample are RNA-Seq gene expression levels measured by illumina HiSeq platform.
classification, clustering, multivariateThe dataset format is described below. Note: the format of this database was modified on 2/26/90 to conform with the format of all the other databases in…
classification, multivariateThis dataset represents a real-life benchmark in the area of Activity Recognition applications, as described in [1]. The classification tasks consist in…
classification, multivariate, sequential, time-seriesThere are two databases: (both use the same set of 5 attributes): 1. Primary o-ring erosion and/or blowby 2. Primary o-ring erosion only The two database…
multivariate, regressionSamples arrive periodically as Dr. Wolberg reports his clinical cases. The database therefore reflects this chronological grouping of the data. This group…
classification, multivariateThis data originates from blog posts. The raw HTML-documents of the blog posts were crawled and processed. The prediction task associated with the data …
multivariate, regressionPredicted Attribute: Localization site of protein. ( non-numeric ). The references below describe a predecessor to this dataset and its development. They…
classification, multivariateThe data set includes 103 data points. There are 7 input variables, and 3 output variables in the data set. The initial data set included 78 data. After s…
multivariate, regressionThis data set contains time series of greenhouse gas (GHG) concentrations at 2921 grid cells in California created using simulations of the Weather Resear…
multivariate, regression, time-seriesPredicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counti…
classification, multivariateThe data consist of 16 binary inputs and one 'four-bit' one-hot classification output. The 16-bit inputs are binary-valued attack-point vectors. 1 indicat…
classification, multivariatePast Usage: (a) Rgnvaldsson, You and Garwicz (2015) 'State of the art prediction of HIV-1 protease cleavage sites', Bioinformatics, vol 31 (8), p…
classification, multivariateVelloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th Internatio…
classification, multivariateThe source datasets needed to be combined via programming. Many variables are included so that algorithms that select or learn weights for attributes coul…
multivariate, regressionA simple database containing 17 Boolean-valued attributes. The "type" attribute appears to be the class attribute. Here is a breakdown of which animals …
classification, multivariateNursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools. It was used during several …
classification, multivariateThis is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also lymphography an…
classification, multivariateThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two instanc…
classification, clustering, multivariate, sequential, time-seriesNumber of instances: 18000 times-series measurements recorded from a 72 metal-oxide gas sensor array-based chemical detection platform. Number of attribu…
classification, multivariate, time-seriesWe have downloaded 15 months worth of daily data from the California Department of Transportation PEMS website, [Web Link], The data describes the occupan…
classification, multivariate, time-seriesThe dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categor…
classification, multivariateThis database does NOT use a standard set of attributes per instance. Contact Ray Bareiss (rbareiss '@' uunet.uucp ?) for more information. Domain exper…
classification, multivariateThe file animals.c is a data generator of structured instances representing quadruped animals as used by Gennari, Langley, and Fisher (1989) to evaluate t…
classification, generator, multivariateTRAINING File : I have created training file with 100+ non malacious examples and 250+ malacious samples. NON-MALACIOUS dataset is represented by +1 while…
classification, multivariateThe main idea of this data set is to prepare the algorithm of the expert system, which will perform the presumptive diagnosis of two diseases of urinary …
classification, multivariateThere are four data sets representing different conditions of an experiment. All have the same attributes. a. adult-stretch.data Inflated is true if age…
classification, multivariateUncompressing rcv1rcv2aminigoutte.tar.bz2 will create a directory that contains 5 subdirectories EN, FR, GR, IT and SP, corresponding to the 5 languages.…
classification, multivariateThe presented dataset is composed of two tsv files named 'youtube_videos.tsv' and 'transcoding_mesurment.tsv'. The first contains 10 columns of fundament…
multivariate, regressionWe used preprocessing programs made available by NIST to extract normalized bitmaps of handwritten digits from a preprinted form. From a total of 43 peopl…
classification, multivariateMachine learning is used in high-energy physics experiments to search for the signatures of exotic particles. These signatures are learned from Monte Carl…
classification, multivariate# From Garavan Institute # Documentation: as given by Ross Quinlan # 6 databases from the Garavan Institute in Sydney, Australia # Approximately the follo…
classification, domain-theory, multivariateData were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for …
classification, multivariateExtraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE…
classification, multivariateThe data consist of evaluations of teaching performance over three regular semesters and two summer semesters of 151 teaching assistant (TA) assignments a…
classification, multivariateNotes: -- 3 classes of waves -- 21 attributes, all of which include noise -- See the book for details (49-55, 169) -- waveform.data.Z …
classification, generator, multivariateThe data set consists of the expression levels of 77 proteins/protein modifications that produced detectable signals in the nuclear fraction of cortex. Th…
classification, clustering, multivariateThe OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recogni…
classification, multivariate, time-seriesTo demonstrate the RFMTC marketing model (a modified version of RFM), this study adopted the donor database of Blood Transfusion Service Center in Hsin-Ch…
classification, multivariateWe present a dataset to address the problem of visual privacy - where users unintentionally leak private information when sharing personal images online, …
classification, flickr, multilabel, privacy, regression, sceneThe data set is at 10 min for about 4.5 months. The house temperature and humidity conditions were monitored with a ZigBee wireless sensor network. Each w…
multivariate, regression, time-seriesThe data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more th…
classification, multivariateA dataset of online handwritten assamese characters by collecting samples from 45 writers is created. Each writer contributed 52 basic characters, 10 nume…
classification, multivariate, sequentialThis corpus has been collected from free or free for research sources at the Internet: -> A collection of 425 SMS spam messages was manually extracted fr…
classification, clustering, domain-theory, multivariate, text* Audio track (encoded as mp3) of each of the 106,574 tracks. It is on average 10 millions samples per track.* Nine audio features (consisting of 518 attr…
classification, clustering, multivariate, time-seriesThe dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is repres…
classification, clustering, multivariate, sequential, time-seriesThis data set was generated as follows. 150 subjects spoke the name of each letter of the alphabet twice. Hence, we have 52 training examples from each sp…
classification, multivariateExtraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE…
classification, multivariateNotes: - Additional "background" knowledge is supplied that provides a partial ordering on some of the attribute values. - We are providing this dataset…
classification, multivariateThis is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced fre…
classification, multivariateType of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults
classification, multivariateThere are three disadvantages of weighted scoring stock selection models. First, they cannot identify the relations between weights of stock-picking conce…
multivariate, regressionThe datas time period is between Jan 1st, 2010 to Dec 31st, 2014. Missing data are denoted as NA.
multivariate, regression, time-seriesThe Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatch sensors consists of two datasets devised to investigate sensor het…
classification, clustering, multivariate, time-series2 data files: -- horse-colic.data: 300 training instances -- horse-colic.test: 68 test instances Possible class attributes: 24 (whether lesi…
classification, multivariateThe HTML source of a web page is given. Users looked at each web page and inidated on a 3 point scale (hot medium cold) 50-100 pages per domain. However, …
classification, multivariate, textThis data set contains some training and testing data from a remote sensing study by Johnson et al. (2013) that involved detecting diseased trees in Quick…
classification, multivariateThe dataset was collected at 'Hospital Universitario de Caracas' in Caracas, Venezuela. The dataset comprises demographic information, habits, and histori…
classification, multivariateDrugs are typically small organic molecules that achieve their desired activity by binding to a target site on a receptor. The first step in the discovery…
classification, multivariateFor a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the tem…
classification, multivariate, sequential, time-seriesThe Daphnet Freezing of Gait Dataset is a dataset devised to benchmark automatic methods to recognize gait freeze from wearable acceleration sensors plac…
classification, multivariate, time-seriesThe Dataset is uploaded in ZIP format. The dataset contains 5 variants of the dataset, for the details about the variants and detailed analysis read and c…
multivariate, regressionInformation about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was …
description, multivariate, regressionThis database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where "x" is assumed to have played first. The t…
classification, multivariateThis dataset is composed of a range of biomedical voice measurements from 42 people with early-stage Parkinson's disease recruited to a six-month trial of…
multivariate, regressionThis database contains 34 attributes, 33 of which are linear valued and one of them is nominal. The differential diagnosis of erythemato-squamous diseas…
classification, multivariateYou should respect the following train / test split: train: first 463,715 examples test: last 51,630 examples It avoids the 'producer effect' by making su…
multivariate, regressionThis dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps. 200 patterns per class (for a tota…
classification, multivariateThere are 19 classes, only the first 15 of which have been used in prior work. The folklore seems to be that the last four classes are unjustified by the …
classification, multivariateThis data set contains weighted census data extracted from the 1994 and 1995 Current Population Surveys conducted by the U.S. Census Bureau. The data cont…
classification, multivariateThis database contains 279 attributes, 206 of which are linear valued and the rest are nominal. Concerning the study of H. Altay Guvenir: "The aim is to…
classification, multivariateThis simple domain contains 7 Boolean attributes and 10 concepts, the set of decimal digits. Recall that LED displays contain 7 light-emitting diodes -- …
classification, generator, multivariateIn [Cortez and Morais, 2007], the output 'area' was first transformed with a ln(x+1) function. Then, several Data Mining methods were applied. After fi…
multivariate, regressionThe Infra-Red Astronomy Satellite (IRAS) was the first attempt to map the full sky at infra-red wavelengths. This could not be done from ground observato…
classification, multivariateThis database has been artificially generated by using a first order theory which describes the structure of ten capital letters of the English alphabet a…
classification, multivariateThe PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities (such as walking, cycling, playing soccer, etc.), perfor…
classification, multivariate, time-seriesBackground information: The data set concerns the earliest history of mankind. Prehistoric men created the desired shape of a stone tool by striking on a …
causal-discovery, classification, clustering, multivariateThe 5473 examples comes from 54 distinct documents. Each observation concerns one block. All attributes are numeric. Data are in a format readable by C4.5.
classification, multivariateFormat: Each observation concerns one university. In some cases, more information is provided about the attribute (e.g., units or domain). Some duplicates…
classification, multivariateThe "spam" concept is diverse: advertisements for products/web sites, make money fast schemes, chain letters, pornography... Our collection of spam e-mai…
classification, multivariateThe dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total s…
classification, clustering, domain-theory, multivariate, textFor further details on this dataset and/or its attributes, please read the 'ReadMe.pdf' file included and/or consult the Master's Thesis 'Development of a…
classification, multivariateThis database is a standardized version of the original audiology database (see audiology.* in this directory). The non-standard set of attributes have b…
classification, multivariateContains training and testing data for classifying a high resolution aerial image into 9 types of urban land cover. Multi-scale spectral, size, shape, and…
classification, multivariateThe REALDISP (REAListic sensor DISPlacement) dataset has been originally collected to investigate the effects of sensor displacement in the activity recog…
classification, multivariate, time-seriesThis database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. …
classification, multivariate, spatialThe dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full…
multivariate, regressionThere are two versions to the database: - V1 contains the original examples and - V2 contains descriptions after discretizing numeric properti…
classification, multivariateThis data was used by Hong and Young to illustrate the power of the optimal discriminant plane even in ill-posed settings. Applying the KNN method in the …
classification, multivariateThis is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store o…
classification, clustering, multivariate, sequential, time-series* The dataset was acquired and annotated by professional physicians at 'Hospital Universitario de Caracas'. * The subjective judgments (target variables) …
classification, multivariateDota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and wea…
classification, multivariateThree data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. For …
classification, multivariate, time-seriesThis archive contains 2075259 measurements gathered between December 2006 and November 2010 (47 months). Notes: 1.(global_active_power*1000/60 - sub_mete…
clustering, multivariate, regression, time-seriesPlease see the README for the details on the data organization, and so on.
classification, clustering, multivariate, textThe time period is between Jan 1st, 2010 to Dec 31st, 2015. Missing data are denoted as NA.
multivariate, regression, time-seriesThe dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multi…
multivariate, regression, time-seriesThis is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also breast-cancer a…
classification, multivariateSeveral constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 year…
classification, multivariateThis data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family (pp. 500-52…
classification, multivariateThe parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts decision rules from qualitative bankruptcy da…
classification, multivariateAll data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detec…
classification, multivariate, sequential, time-seriesMammography is the most effective method for breast cancer screening available today. However, the low positive predictive value of breast biopsy resultin…
classification, multivariateNumber of instances 1030 Number of Attributes 9 Attribute breakdown 8 quantitative input variables, and 1 quantitative output variable Missing Attribute …
multivariate, regressionThis database contains 5 numeric-valued attributes. Only a subset of 3 are used during testing (the latter 3). Furthermore, only 2 of the 3 concepts are…
classification, multivariateNorthix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases. Northix is the resulting schema m…
classification, multivariate, text, univariateThis dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do …
classification, multivariateThe NASA data set comprises different size NACA 0012 airfoils at various wind tunnel speeds and angles of attack. The span of the airfoil and the observer…
multivariate, regressionThe experiments have been carried out by means of a numerical simulator of a naval vessel (Frigate) characterized by a Gas Turbine (GT) propulsion plant. …
multivariate, regressionApproximately 80% of the data belongs to class 1. Therefore the default accuracy is about 80%. The aim here is to obtain an accuracy of 99 - 99.9%. The e…
classification, multivariateA Vicon motion capture camera system was used to record 12 users performing 5 hand postures with markers attached to a left-handed glove. A rigid patter…
classification, clustering, multivariateThe MHEALTH (Mobile HEALTH) dataset comprises body motion and vital signs recordings for ten volunteers of diverse profile while performing several physic…
classification, multivariate, time-seriesPredicting forest cover type from cartographic variables only (no remotely sensed data). The actual forest cover type for a given observation (30 x 30 me…
classification, multivariateAll the 504 reviews were collected between January and August of 2015.
classification, regressionThis data set was generated to model psychological experimental results. Each example is classified as having the balance scale tip to the right, tip to …
classification, multivariateCost Matrix _______ abse pres absence 0 1 presence 5 0 where the rows represent the true values and the columns the predicted.
classification, multivariateOur dataset is used by us to explore spammers in microblog and you can access our demo system at [Web Link]Please add :8080 after the domain name as port.…
causal-discovery, classification, multivariate, sequential, text, univariateThis dataset was derived from geospatial data from two sources: 1) Landsat time-series satellite imagery from the years 2014-2015, and 2) crowdsourced geo…
classification, multivariateThe file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. The …
classification, multivariateThe purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be …
classification, multivariateThis data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. Se…
classification, multivariateDataset from 8800(10 digits x 10 repetitions x 88 speakers) time series of 13 Frequency Cepstral Coefficients (MFCCs) had taken from 44 males and 44 femal…
classification, multivariate, time-seriesData was captured using a setup that consisted of: - Two Fifth Dimension Technologies (5DT) gloves, one right and one left - Two Ascension Flock-of-Bir…
classification, multivariate, time-seriesThis MALDI-TOF dataset consists in:A) A reference panel of 20 Gram positive and negative bacterial species covering 9 genera among which several species a…
classification, multivariateThis data file contains details of various nations and their flags. In this file the fields are separated by spaces (not commas). With this data you can …
classification, multivariateBiophysical models of mutant p53 proteins yield features which can be used to predict p53 transcriptional activity. All class labels are determined via i…
classification, multivariateThe MONK's problem were the basis of a first international comparison of learning algorithms. The result of this comparison is summarized in "The MONK's P…
classification, multivariateThis data set contains training and testing data from a remote sensing study which mapped different forest types based on their spectral characteristics a…
classification, multivariateThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each …
classification, multivariateUncompressing the archive url_svmlight.tar.gz will yield a directory url_svmlight/ containing the following files: * FeatureTypes --- A text file list…
classification, multivariate, time-seriesSee the file bridge-holden-paulson-details.txt in the submitted tarball.
classification, multivariateThe data are MC generated (see below) to simulate registration of high energy gamma particles in a ground-based atmospheric Cherenkov gamma telescope usin…
classification, multivariateThis archive contains 13910 measurements from 16 chemical sensors utilized in simulations for drift compensation in a discrimination task of 6 gases at va…
classification, multivariateThe submitted file is set up as follows. In the first line is the the number of signal events followed by the number of background events. The signal even…
classification, multivariateThe dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representi…
classification, clustering, multivariateThe original paper demonstrated that it is possible to correctly replicate the experts' binary assessment with approximately 90% accuracy using both 10-fo…
classification, multivariateThe database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the centra…
classification, multivariateThis dataset is a slightly modified version of the dataset provided in the StatLib library. In line with the use by Ross Quinlan (1993) in predicting the…
multivariate, regressionThis dataset contains records of simulation crashes encountered during climate model uncertainty quantification (UQ) ensembles. Ensemble members were co…
classification, multivariateFeatures are extracted from electric current drive signals. The drive has intact and defective components. This results in 11 different classes with diffe…
classification, multivariateThe source of the data is the raw measurements from a Nintendo PowerGlove. It was interfaced through a PowerGlove Serial Interface to a Silicon Graphics 4…
classification, multivariate, time-seriesWe create a character database by collecting samples from 11 writers. Each writer contributed with letters (lower and uppercase), digits, and other chara…
classification, multivariate, sequentialThe Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creation…
classification, clustering, multivariate, time-series21 bioassay datasets generated from Pubchem. Both Primary and confirmatory bioassays (12 bioassays, 21 mixes)The data is provided in the same train/test s…
classification, multivariateEach record is an example of a hand consisting of five playing cards drawn from a standard deck of 52. Each card is described using two attributes (suit a…
classification, multivariateThe companion file is a Common Lisp demonstration file that generates knight-pin Chess end-game samples. Start up Lisp and load the file. It generates 10…
classification, generator, multivariateCar Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic: …
classification, multivariateThe provided files comprise three different data sets. The first one contains the raw values of the measurements of all 24 ultrasound sensors and the cor…
classification, multivariate, sequentialThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measuremen…
classification, multivariate, sequential, time-seriesdataset are derived from the customers reviews in Amazon Commerce Website for authorship identification. Most previous studies conducted the identifi…
classification, domain-theory, multivariate, text-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic …
classification, multivariateThis dataset contains 503 sponges belonging to the Demospongiae class collected from the Mediterranean (451 sponges) and Atlantic oceans (52 sponges). Eac…
classification, multivariateWe use the following representation to collect the dataset age - age bp - blood pressure sg - specific gravity al - …
classification, multivariateThe data was collected for examining our newly developed classifier for multidimensional curves (multidimensional time series). Nine male speakers uttered…
classification, multivariate, time-seriesA small subset of the original soybean database. See the reference for Fisher and Schlimmer in soybean-large.names for more information. Steven Souders …
classification, multivariateThe data was collected retrospectively at Wroclaw Thoracic Surgery Centre for patients who underwent major lung resections for primary lung cancer in the …
classification, multivariateThis dataset describes a set of 92 molecules of which 47 are judged by human experts to be musks and the remaining 45 molecules are judged to be non-musks…
classification, multivariateThis research aimed at the case of customers default payments in Taiwan and compares the predictive accuracy of probability of default among six data mini…
classification, multivariateThis data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk r…
multivariate, regressionThe dataset (movement_libras) contains 15 classes of 24 instances each, where each class references to a hand movement type in LIBRAS. In the video pre-p…
classification, clustering, multivariate, sequentialBiomedical data set built by Dr. Henrique da Mota during a medical residence period in the Group of Applied Research in Orthopaedics (GARO) of the Centre …
classification, multivariatePrediction of residuary resistance of sailing yachts at the initial design stage is of a great value for evaluating the ships performance and for estimati…
multivariate, regressionThis data set includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The CQA lists nine diff…
classification, multivariateThis dataset contains features extracted from the Messidor image set to predict whether an image contains signs of diabetic retinopathy or not. All featur…
classification, multivariateNews are grouped into clusters that represent pages discussing the same news story. The dataset includes also references to web pages that, at the access…
classification, clustering, multivariateDatabase contains records for 1885 respondents. For each respondent 12 attributes are known: Personality measurements which include NEO-FFI-R (neuroticism…
classification, multivariateAutomatic identification of commercial blocks in news videos finds a lot of applications in the domain of television broadcast analysis and monitoring. Co…
classification, clustering, multivariateThis dataset is composed of a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease (PD). Each column in the table is a parti…
classification, multivariateThe experiments were carried out with a group of 30 volunteers within an age bracket of 19-48 years. They performed a protocol of activities composed of s…
classification, multivariate, time-series1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values.Then each pixel of each im…
classification, multivariateThe data is related to posts' published during the year of 2014 on the Facebook's page of a renowned cosmetics brand. This dataset contains 500 of the 790…
multivariate, regressionThe references below describe a predecessor to this dataset and its development. They also give results (not cross-validated) for classification by a rule…
classification, multivariateF. Bergadano supplied this database. Each instance contains many components, each of which has 8 attributes. Different instances in this database have d…
classification, multivariatePlease find the original data at '[Web Link]'
classification, clustering, multivariate, time-seriesThis is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories cataloged…
classification, multivariate, textThe original data were formatted by Thorsten Joachims in the bag-of-words representation. There were 9947 features (of which 2562 are always zeros for all…
classification, multivariateTwo datasets are provided. the original dataset, in the form provided by Prof. Hofmann, contains categorical/symbolic attributes and is in the file "germ…
classification, multivariate2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three exp…
classification, multivariateThe experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING, W…
classification, clustering, multivariate, time-seriesThis dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in [1]. The binary classification task con…
classification, multivariate, sequential, time-seriesThe dataset is used in the evaluation of EER, FRR and FAR metrics using a new anomaly detector model (Med-Min-Diff). The typed text in the experiment is t…
classification, multivariateThis file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the da…
classification, multivariateExamples represent positive and negative instances of people who were and were not granted credit. The theory was generated by talking to the individual…
classification, domain-theory, multivariatePlease ask Gail Gong for further information on this database.
classification, multivariateHere's the abstract from the above reference: ABSTRACT: Machine learning tools show significant promise for knowledge acquisition, particularly when huma…
classification, multivariateThis radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total trans…
classification, multivariateThe dataset could contain missing values. The data was sampled every minute, computing and uploading it smoothed with 15 minute means. The header of the d…
multivariate, regression, sequential, text, time-seriesVina conducted a comparison test of her rule-based system, BEAGLE, the nearest-neighbor algorithm, and discriminant analysis. BEAGLE is a product availab…
classification, multivariateThis DataSet is about the results of Statlog project. The project performed a comparative study between Statistical, Neural and Symbolic learning algorith…
classification, multivariateThe examples are complete and noise free. The examples highly simplified the problem. The attributes do not fully describe all the factors affecting the d…
classification, multivariateThe digits have been size-normalized and centered in a fixed-size image of dimension 28x28. The original data were modified for the purpose of the feature…
classification, multivariateHTRU2 is a data set which describes a sample of pulsar candidates collected during the High Time Resolution Universe Survey (South) [1]. Pulsars are a r…
classification, clustering, multivariateThe dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categor…
classification, multivariateThis dataset describes a set of 102 molecules of which 39 are judged by human experts to be musks and the remaining 63 molecules are judged to be non-musk…
classification, multivariateWe have created the UJIpenchars2 character database by collecting samples from 60 writers at two different sites in two phases: 1st phase, 11 writers, car…
classification, multivariate, sequentialThe user first creates a classification model and then generates classified examples from it. To create a model, the following are specified: the number o…
classification, multivariate- The leaves were placed on a white background and then photographed. - The pictures were taken in broad daylight to ensure optimum light intensity.
classification, clustering, multivariateRoss Quinlan: This data was given to me by Karl Ulrich at MIT in 1986. I didn't record his description at the time, but here's his subsequent (1992) rec…
multivariate, regressionThe QSAR biodegradation dataset was built in the Milano Chemometrics and QSAR Research Group (Universit degli Studi Milano Bicocca, Milano, Italy). The r…
classification, multivariateThis is a tiny database. Michie reports that Burke's group used RULEMASTER to generate comprehendable rules for determining the conditions under which an…
classification, multivariateThis is one of three domains provided by the Oncology Institutenthat has repeatedly appeared in the machine learning literature. (See also breast-cancer …
classification, multivariateThis dataset has recordings of a gas sensor array composed of 8 MOX gas sensors, and a temperature and humidity sensor. This sensor array was exposed to b…
classification, multivariate, time-seriesProvide all relevant information about your data set.
classification, clustering, multivariateThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Ea…
classification, multivariateIn this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran. Collecting information to f…
classification, multivariateARCENE was obtained by merging three mass-spectrometry datasets to obtain enough training and test data for a benchmark. The original features indicate th…
classification, multivariateFeatures are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present i…
classification, multivariateProvide all relevant information about your data set.
multivariate, regressionThe phishing problem is considered a vital issue in .COM industry especially e-banking and e-commerce taking the number of online transactions involving p…
classification, multivariateThis dataset represents a set of possible advertisements on Internet pages. The features encode the geometry of the image (if available) as well as phras…
classification, multivariateOngoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the re…
causal-discovery, clustering, multivariate, regressionThe donation includes 5 datasets, each of them defining a different learning problem: * LP1: failures in approach to grasp position * LP2: failur…
classification, multivariate, time-seriesThis dataset was used in several classifications tasks related to the challenge of anuran species recognition through their calls. It is a multilabel data…
classification, clustering, multivariateMining activity was and is always connected with the occurrence of dangers which are commonly called mining hazards. A special case of such threat is a s…
classification, multivariateThe dataset is about bankruptcy prediction of Polish companies. The data was collected from Emerging Markets Information Service (EMIS, [Web Link]), which…
classification, multivariateNotes: -- The database contains 3 potential classes, one for the number of times a certain type of solar flare occured in a 24 hour period. -- Each…
multivariate, regressionA complex modern semi-conductor manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from sen…
causal-discovery, classification, multivariateMany variables are included so that algorithms that select or learn weights for attributes could be tested. However, clearly unrelated attributes were n…
multivariate, regression-- We aggregated screen movements into screen-fixations using a Salvucci & Goldberg (2000) dispersion-threshold algorithm, and defined Perception Actio…
multivariate, regressionThis database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the o…
classification, multivariateThese data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis dete…
classification, multivariateThe estimated relative performance values were estimated by the authors using a linear regression method. See their article (pp 308-313) for more details…
multivariate, regression-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic…
classification, clustering, multivariateAll the patients suffered heart attacks at some point in the past. Some are still alive and some are not. The survival and still-alive variables, when ta…
classification, multivariateThe objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphabet…
classification, multivariateMADELON is an artificial dataset containing data points grouped in 32 clusters placed on the vertices of a five dimensional hypercube and randomly labeled…
classification, multivariateThe dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patie…
classification, multivariateImpedance measurements were made at the frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz Impedance measurements of freshly excised breast tissue …
classification, multivariateNotes: -- 3 classes of waves -- 40 attributes, all of which include noise -- The latter 19 attributes are all noise attributes with mean…
classification, generator, multivariateThis file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the da…
classification, multivariateThe automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special import…
classification, clustering, multivariate, sequentialBrief Description of the Dataset: --------------------------------- Each of the 19 activities is performed by eight subjects (4 female, 4 male, between th…
classification, clustering, multivariate, time-seriesThis dataset contains the features extracted from a database of colonoscopic videos showing gastrointestinal lesions. It also contains the ground truth co…
classification, multivariateThe examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected for the…
classification, clustering, multivariateThe classification task of this database is to determine where patients in a postoperative recovery area should be sent to next. Because hypothermia is a…
classification, multivariateWe create a digit database by collecting 250 samples from 44 writers. The samples written by 30 writers are used for training, cross-validation and writer…
classification, multivariateThe records represent individual data including first and family name, sex, date of birth and postal code, which were collected through iterative insertio…
classification, multivariateAn Inductive Logic Programming (ILP) or relational learning framework is assumed (Muggleton, 1992). The learning system is provided with examples of chess…
classification, multivariateA Vicon motion capture camera system was used to record 12 users performing 5 hand postures with markers attached to a left-handed glove. A rigid patter…
classification, clustering, multivariateEach image can be characterized by the pose, expression, eyes, and size. There are 32 images for each person capturing every combination of features. To…
classification, imageProvide all relevant informatioThe data has been produced using Monte Carlo simulations. The first 8 features are kinematic properties measured by the par…
classificationThe skin dataset is collected by randomly sampling B,G,R values from face images of various age groups (young, middle, and old), race groups (white, black…
classification, univariate52 columns for 52 weeks; normalised values of provided too.
clustering, multivariate, time-seriesPitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)[[Web Link]]. Meter information has been computed through the…
classification, sequentialThis database contains 18000 video frames of 640x480 resolution from 60 video sequences, each of which recorded from a different subject (31 female and 29…
classificationThe Person Re-ID (PRID) 2011 dataset was created in co-operation with the Austrian Institute of Technology for the purpose of testing person re-identifica…
appearance, change, classification, graz, identification, illumination, multiview, pedestrian, trajectoryThe CALTECH 256 dataset by Li Fei-Fei contains 30607 images for 256 categories.
centered, classification, detection, image, object, sceneThis dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015 Please cite the paper if you want …
classification, textUSPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Patent Labeling
classification, domain-theoryThis material is supplementary to Michael Stark, Bernt Schiele. How Good are Local Features for Classes of Geometric Objects. Eleventh IEEE Internatio…
binary, classification, object, shape, toolFine-Grained Visual Classification of Aircraft (FGVC-Aircraft) is a benchmark dataset for the fine grained visual categorization of aircraft. Data, anno…
aircraft, airplane, benchmark, classification, evaluation, fine-grained, recognitionOne of the challenges faced by our research was the unavailability of reliable training datasets. In fact this challenge faces any researcher in the field…
classificationThe Caltech Game Covers dataset consists of CD/DVD covers of video games. The set was downloaded from freecovers.net during the summer of 2008. The set in…
caltech, classification, cover, game, hierarchy, retrieval, taxonomyVideo data sets to train machines to recognise objects in our environment. e-VDS35 has 35 classes and a total of 2050 videos of roughly 10 seconds each.
classificationThe Daimler Mono Pedestrian Classification Benchmark dataset consists of two parts: a base data set. The base data set contains a total of 4000 pedestri…
classification, illumination, object, outdoor, pedestrian, scale, urbanThe CMP Facade dataset consists of facade images assembled at the Center for Machine Perception, which includes 600 rectified images of facades from vario…
classification, facade, recognition, rectification, segmentation, semantic, similarity, structure, urbanThe UMD Dynamic Scene Recognition dataset consists of 13 classes and 10 videos per class and is used to classify dynamic scenes. The dataset has been de…
classification, dynamic, motion, recognition, scene, videoThis ETHZ CVL RueMonge 2014 dataset used for 3D reconstruction and semantic mesh labelling for urban scene understanding. It was first published in [1] …
3d, architecture, benchmark, classification, code, mesh, outdoor, paris, pointcloud, recognition, reconstruction, segmentation, semantic, source, urbanIn SIFT10M, the titles of the png files indicate the columns position of the SIFT features. This data set has been used for evaluating the approximate nea…
causal-discovery, multivariateData set has no missing values. Values are in kW of each 15 min. To convert values in kWh values must be divided by 4. Each column represent one client. S…
clustering, regression, time-seriesDocuments are first obtained via a Web search using AMIEI: an integrated platform for delivering enterprise intelligence, developed by AMI Software ([Web …
clustering, multivariate, sequential, textThis dataset provides a collection of web images and 3D models for research on landmark recognition (especially for methods based on 3D models). We hope i…
3d, classification, codebook, feature, flickr, landmark, matching, recognition, reconstruction, retrievalData was used to test 2 tier approach with learning from positive and negative examples
multivariateThe first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each l…
multivariatePictures of objects belonging to 256 categoriesPictures of objects belonging to 256 categories.
classification, natural-imageThe GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context evalua…
classification, context, geometry, nature, outdoor, segmentation, semantic, supervised, unsupervised, urban, videoThe original source for this data set is the IPUMS project (RugglesSobek, 1997). The IPUMS project is a large collection of federal census data which has …
multivariateA dataset for Attribute Based Classification. It consists of 30475 images of 50 animals classes with six pre-extracted feature representations for each im…
classificationStyle, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type, Recommendation are Attributes in d…
classification, clustering, textThe Yotta dataset consists of 70 images for semantic labeling given in 11 classes. It also contains multiple videos and camera matrices for 14km or drivin…
3d, camera, classification, reconstruction, segmentation, semantic, urban, videoThe Visual Attributes dataset contains visual attribute annotations for over 500 object classes (animate and inanimate) which are all represented in Image…
attribute, classification, imagenet, object, recognitionWe created this data by sampling and processing the www.kelkoo.com logs. The data records offers which were clicked (or shown) to the users of the www.kel…
causal-discovery, multivariateThe data was collected as part of the 1990 census. There are 68 categorical attributes. This data set was derived from the USCensus1990raw data set. The…
clustering, multivariateThe data was retrieved from a set of 53500 CT images from 74 different patients (43 male, 31 female). Each CT slice is described by two histograms in pol…
domain-theory, regressionThe Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature data …
attribute, car, classification, fine-grained, object, recognition, urban, vehicleParis-rue-Madame dataset contains 3D Mobile Laser Scanning (MLS) data from rue Madame, a street in the 6th Parisian district (France). The test zone conta…
3d, classification, laser, pointcloud, segmentation, semanticThe data was collected by the Magellan spacecraft over an approximately four year period from 1990--1994. The objective of the mission was to obtain globa…
classification, imageThe objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includ…
causal-discovery, multivariateThese are atlantic-mediterranean marine sponges that belong to O.Hadromerida (Demospongiae.Porifera).
clustering, multivariateThis dataset is an addition to the dataset at [Web Link] We collected more dataset to improve the accuracy of our HAR algorithms applied in …
classification, time-seriesThe table below lists the datasets, the YouTube video ID, the amount of samples in each class and the total number of samples per dataset. Dataset --- Yo…
classification, textFor Further information about the variables see the file in the data folder.
classification, textMany different labeled video datasets have been collected over the past few years, but it is hard to compare them at a glance. So we have created a handy …
action, benchmark, classification, detection, object, recognition, videoI collected 64 e-mails from DBWorld newsletter and I used them to train different algorithms in order to classify between 'announces of conferences' and '…
classification, textThe data is in the transactional form. It contains the Latin names (species or genus) and state abbreviations.
clustering, multivariateThis data was collected from text ads found on twelve websites that deal with various farm animal related topics. Information from the ad creative and th…
classification, textObservations come from 2 data streams (people flow in and out of the building), over 15 weeks, 48 time slices per day (half hour count aggregates). The…
multivariate, time-seriesMIL data sets used in our 2002 NIPS paper for Elepphant, Musk, TREC http://www.cs.cmu.edu/~juny/MILL/MIL-experiments.htm
classification, machine learning--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Accelerom…
classification, clustering, sequential, time-series, univariateThe UBO 2014 consists of 7 semantic categories. Each of these 7 material categories contains measurements of 12 different material instances for being cap…
classification, illumination, light, material, recognition, textureThe USAA dataset includes 8 different semantic class videos which are home videos of social occassions which feature activities of group of people. It con…
classificationThis challenge is set up around three tasks: Text Localisation, Text Segmentation and Word Recognition. Participation in any or all tasks is welcome. Chec…
classification, text detection, text recognitionAbstract Scene understanding has (again) become a focus of computer vision research, leveraging advances in detection, context modeling, and tracking. In…
3d, car, classification, pedestrian, scene, segmentation, semantic, understandingSVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and fo…
classification, detection, number, real, recognition, streetside, streetview, text, urban, worldThis loop sensor data was collected for the Glendale on ramp for the 101 North freeway in Los Angeles. It is close enough to the stadium to see unusual t…
multivariate, time-series--- By using a tweet crawler, we collect 2000 labelled tweets (1000 positive tweets and 1000 negative ones) on various topics such as: politics an…
classification, textAWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have require…
amazon, biology, classification, deep, human, image, learning, recognition, resolution, satellite, segmentation, spaceThe CVC Partial Occlusion Virtual Pedestrian datasets (CVC-01 to CVC-06) cover a range of scenarios of occluded pedestrians generated in a virtual and rea…
classification, detection, occlusion, pedestrian, synthetic, tracking, urbanA large dataset of geotagged face images collected from Flickr. The zip file contains text files containing urls of the images. Face2GPS: Estimating Geo…
age, classification, face, gender, geotagged, human, localizationISPRS Test Project on Urban Classification and 3D Building Reconstruction The ISPRS working group III/4 announces the release of the 2D semantic labelin…
3d, building, city, classification, recognition, reconstruction, semantic, urbanIMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tests…
classification, sequential1. Title of Database: Machine Learning based ZZAlpha Stock Recommendations 2. Sources: (a) Original owners of data: ZZAlpha Ltd., 4729 E. Sunrise #109,…
classification, sequential, time-seriesData Characteristics: -------------------- This data was created by selecting 20 files each from the 10 largest classes in the Reuters-21578 collection …
classification, textTwo approaches were tested: a collaborative filter technique and a contextual approach. (i) The collaborative filter technique used only one file i.e.,…
multivariateCSV format where each row is a paper and each column an attribute.
clustering, multivariateThis data comes from a survey conducted by the Graphics and Visualization Unit at Georgia Tech October 10 to November 16, 1997. The full details of the su…
multivariateDataset A (former NLPR Gait Database) was created on Dec. 10, 2001, including 20 persons. Each person has 12 image sequences, 4 sequences for each of the …
action, biometry, classification, foot, gait, human, motion, pressure, recognitionToday, we introduce Open Images, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories. We …
annotation, automatic, category, classification, deep, image, large-scale, realData Type: GrayScale Image The image dataset can be used to benchmark classification algorithm for OCR systems. The highest accuracy obtained in the Test…
classificationThe data has been produced using Monte Carlo simulations. The first 21 features (columns 2-22) are kinematic properties measured by the particle detectors…
classificationThe data set gathered when we were working at project for Bahrain university between 2002 and 2003.
classification, clustering, domain-theory, univariateThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measuremen…
causal-discovery, classification, clustering, textThis is a data set used by Ning Qian and Terry Sejnowski in their study using a neural net to predict the secondary structure of certain globular proteins…
classification, sequentialThe problem is specified by the accompanying data file, "vowel.data". This consists of a three dimensional array: voweldata [speaker, vowel, input]. The …
classificationThe Fish4Knowledge project (groups.inf.ed.ac.uk/f4k/) is pleased to announce the availability of 2 subsets of our tropical coral reef fish video and ext…
animal, camera, classification, fish, motion, nature, recognition, video, waterThe dataset consists of a total of 3600 documents including 600 news/texts from six categories economy, culture-arts, health, politics, sports and techno…
classification, clustering, textAt Udacity, we believe in democratizing education. How can we provide opportunity to everyone on the planet? We also believe in teaching really amazing an…
autonomous, car, classification, detection, driving, recognition, robot, segmentation, street, synthetic, time, urban, videoBike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Thro…
regression, univariateThe characters here were used for a PhD study on primitive extraction using HMM based models. The data consists of 2858 character samples, contained in th…
classification, clustering, time-seriesThe Extreme Classification Repository: Multi-label Datasets & Code Kush Bhatia Himanshu Jain Prateek Jain Manik Varma The objective in extreme mult…
benchmark, classification, evaluation, learning, machine, multilabelFrom the original readme file (please consult it for more information): ------------------------- The documents in the Reuters-21578 collection appeared o…
classification, textThe data is stored in relational form across several files. The central file (MAIN) is a list of movies, each with a unique identifier. These identifiers …
multivariate, relationalWordNet is a large lexical database of English. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressin…
category, classification, hierarchy, imagenet, languageProblem Description: Splice junctions are points on a DNA sequence at which `superfluous' DNA is removed during the process of protein creation in highe…
classification, domain-theory, sequentialYouTube Comedy Slam ([Web Link]) is a video discovery experiment running on YouTube's version of labs (called TestTube) for a few months in 2011 and 2012.…
classification, textThis data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed …
multivariate, time-seriesThis dataset was collected for training and validation of machine learning algorithm for classification regions of documents on text, picture and backgrou…
classificationFor complete information see the official challenge page: [Web Link]
causal-discovery, clustering, domain-theory, multivariate, sequential, time-seriesThis dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different cla…
classification, clustering, time-seriesStroke Width Transform Text dataset is by Boris Epstein and consists of 307 images and XXX text instances. Detecting Text in Natural Scenes with Stroke…
classification, text detection, text recognitionPeople used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of t…
classification, sequential, time-series, univariateThe Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenthes…
benchmark, classification, evaluation, segmentation, synthetic, textureThe Stanford Background Dataset is a new dataset introduced in Gould et al. (ICCV 2009) for evaluating methods for geometric and semantic scene understand…
classification, geometry, nature, segmentation, semantic, urbanThis data comes from a water quality study where samples were taken from sites on different European rivers of a period of approximately one year. These s…
multivariateThe Berkeley Multimodal Human Action Database (MHAD) contains 11 actions performed by 7 male and 5 female subjects in the range 23-30 years of age except …
action, classification, motion, multiview, recognitionThis is the database of biological images (from the genetics model system, Drosophila melanogaster, a fruit fly) across multiple levels of variation. we…
animal, biology, classification, fly, genetic, variationThe Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year. The dataset cap…
autonomous, car, classification, detection, driving, recognition, robot, segmentation, street, time, urban, video, yearThe dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in the …
classification, clustering, sequential, time-series, univariateThis is an updated and corrected version of the data set used by Sejnowski and Rosenberg in their influential study of speech generation using a neural ne…
multivariateThe dataset has been enriched during the Nomao Challenge: [Web Link] organized along with the ALRA workshop (Active Learning in Real-world Applications): …
classification, univariateThe HandNet dataset contains depth images of 10 participants hands non-rigidly deforming infront of a RealSense RGB-D camera. This dataset includes 214…
articulation, classification, detection, fingertip, hand, pose, rgbd, segmentation, videoBelgiumTSC dataset is built for traffic sign classification purposes. Is is a subset of BelgiumTS dataset and contains cropped images around annotations f…
belgium, classification, road, sign, traffic, urbanThis dataset was constructed by adding elevation information to a 2D road network in North Jutland, Denmark (covering a region of 185 x 135 km^2). Elevati…
clustering, regression, sequential, text2. Information database: 2.1. Protocol: 22 male subjects , 11 with different knee abnormalities previously diagnosed by a professional. They undergo thre…
multivariate, time-seriesThe Webcam Interestingness dataset consists of 20 different webcam streams, with 159 images each. It is annotated with interestingness ground truth, acqui…
classification, interest, ranking, retrieval, video, weather, webcamThe original image collection was obtained from Corel at [Web Link]. There are 68,040 photo images from various categories. Each set of features is store…
multivariateThis dataset has been developed to help evaluate a "hybrid" learning algorithm ("KBANN") that uses examples to inductively refine preexisting knowledge. …
classification, domain-theory, sequentialPart of the problem in using an automated program to discover the unknown target function is to decide how to encode names such that the program can be us…
classification, text, univariateKNAPSACK_01 is a dataset directory which contains some examples of data for 01 Knapsack problems. In the 01 Knapsack problem, we are given a knapsack of…
classification, machine learning1. Protocol: Seven male and three female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part …
classification, time-seriesThe Outex dataset is part of a framework for empirical evaluation of texture classification and segmentation algorithms. The framework is being construct…
benchmark, classification, segmentation, synthetic, textureFor Each feature, a 64 element vector is given per sample of leaf. These vectors are taken as a contigous descriptors (for shape) or histograms (for textu…
classificationThe Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageN…
classification, detection, dogs, fine-grained categorizationThe Chars74K dataset consists of 64 classes (0-9, A-Z, a-z), 7705 characters obtained from natural images, 3410 hand drawn characters using a tablet PC, 6…
classification, text detection, text recognitionThis dataset contains Australian legal cases from the Federal Court of Australia (FCA). The cases were downloaded from AustLII ([Web Link]). We included a…
classification, textThe Text and Vision (TVGraz) dataset is an annotated multi-modal dataset which currently contains 10 visual object categories, 4030 images and associated …
appearance, classification, evaluation, textClassification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
classification, detection1. Protocol: Three male and one female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part in…
classification, time-seriesThe Brodatz dataset consists of 112 textures in grayscale images of various texture types. http://www.ee.oulu.fi/research/imag/texture/image_data/Brodat…
benchmark, classification, segmentation, synthetic, textureBelgiumTS is a large dataset with 10000+ traffic sign annotations, thousands of physically distinct traffic signs. 4 video sequences recorded with 8 high …
belgium, calibration, camera, classification, road, sign, traffic, urbanThe dataset captures 25 people preparing 2 mixed salads each and contains over 4h of annotated accelerometer and RGB-D video data. Annotated activities co…
action, activity, classification, detection, recognition, tracking, videoThe data sets we propose to analyse are constituted of 1024 vectors, each vector includes 10 parameters. You can think of it as a 1024*10 matrix. To produ…
multivariateEEG record contains many regular oscillations, which are believed to reflect synchronized rhythmic activity in a group of neurons. Most activity related E…
classification, univariateThe RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques (s…
3d, classification, depth, identification, pedestrian, shapeThis dataset comes from the daily measures of sensors in a urban waste water treatment plant. The objective is to classify the operational state of the pl…
clustering, multivariateIn predicting stock prices you collect data over some period of time - day, week, month, etc. But you cannot take advantage of data from a time period unt…
classification, clustering, time-seriesThe Pittsburgh Fast-food Image dataset (PFID) consists of 4545 still images, 606 stereo pairs, 3033600 videos for structure from motion, and 27 privacy-pr…
classification, food, laboratory, real, recognition, reconstruction, videoThe data were collected over a series of specifically designed trials. Our hope was to cover most of the types of sensory interactions that a Pioneer migh…
multivariate, time-seriesEach record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create eith…
classification, sequentialA dataset for testing object class detection algorithms. It contains 255 test images and features five diverse shape-based classes (apple logos, bottles, …
classificationThe Street View Text (SVT) dataset contains 647 words and 3796 letters in 249 images harvested from Google Street View. The dataset is more challenging …
classification, outdoor, text detection, text recognition, urbanDiabetes patient records were obtained from two sources: an automatic electronic recording device and paper records. The automatic device had an interna…
multivariate, time-seriesThis is the first smartphone based lifelogging dataset that is going to be available for public use. Please consider that the user of this dataset are obl…
causal-discovery, multivariateThis is a sparse data set, less than 10% of the attributes are used for each sample. The link is to a '*.tgz' file which contains two files: [amzn-anon-ac…
causal-discovery, clustering, domain-theory, regression, time-seriesInstrumentation: The data were collected at a sampling rate of 500 Hz, using as a programming kernel the National Instruments (NI) Labview. The signals we…
classification, time-seriesThe ICDAR 2003 datasets available for download on this site: Robust Reading , Robust Word Recognition , Robust OCR , Text Locating and Cursive Script . …
classification, text detection, text recognitionCSV format where each row is a paper and each column is an attribute.
clustering, multivariateThe data can be used to try to predict student learning in SE teamwork based on observation of their team activity **** README FILE from the submitted d…
classification, sequential, time-series