The Buffy dataset contains images selected from the TV series, Buffy: the Vampire Slayer. We select a set of 452 images from the first two episodes for training and 160 images from the next three episodes for test purposes. It is provided with a pixel-level human/non-human segmentation on these images, with each human instance getting same label/color, generating the ground truth images for training and testing purposes. Further, for the protocol select a set of 60 images from the training set and provide pixel-level segmentation with each human instance receiving a distinct label/color.
The dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 50 …
action, background, behavior, human, segmentation, video surveillanceThe TUD Campus dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 71 images and 303 highly overlapping pedestrians with large scale c…
object detection, object tracking, overlap, pedestrian, segmentation, sideviewThe Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for th…
action, background, behavior, human, segmentation, videoThe TUD Pedestrians dataset from Micha Andriluka, Stefan Roth and Bernt Schiele [AndrilukaCVPR2008] consists of 250 images with 311 fully visible people w…
object detection, pedestrian, segmentation, sideviewWe take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest ar…
depth, detection tracking, object detection, object tracking, odometry, optical flow, reconstruction, segmentation, semantic car depth, sfm, stereoThe INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and X…
boundingbox, frontview, human, object detection, pedestrian, sideviewThe PASCAL VOC is augmented with segmentation annotation for semantic parts of objects. For example, for the person category, we provide segmentation mask…
detection, human, object, part, pascal, pedestrian, recognition, segmentation, semanticThe UrbanStreet dataset used in the paper can be downloaded here [188M] . It contains 18 stereo sequences of pedestrians taken from a stereo rig mounted o…
detection, human, multitarget, pedestrian, recognition, segmentation, tracking, urban, videoAWS 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 CHALEARN Multi-modal Gesture Challenge is a dataset +700 sequences for gesture recognition using images, kinect depth, segmentation and skeleton data.…
action, depth, gesture, human, illumination, kinect, recognition, segmentation, skeletonThe TUD Pedestrians training dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 210 and 400 training images with X pedestrians with s…
object detection, pedestrian, segmentation, sideviewThe Microsoft Research Cambridge-12 Kinect gesture dataset consists of sequences of human movements, represented as body-part locations, and the associate…
action, gesture, human, kinect, recognitionThe Freiburg-Berkeley Motion Segmentation Dataset (FBMS-59) is an extension of the BMS dataset with 33 additional video sequences. A total of 720 frames i…
benchmark, groundtruth, motion, object, pedestrian, segmentation, tracking, videoThe 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, textureDaimler Stereo Pedestrian Detection Benchmark C. Keller, M. Enzweiler, and D. M. Gavrila, A New Benchmark for Stereo-based Pedestrian Detection, Proc. …
object detection, pedestrian, urbanThe BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training i…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe Salient Montages is a human-centric video summarization dataset from the paper [1]. In [1], we present a novel method to generate salient montages f…
human, montage, saliency, summarization, video, wearableThe PETS 2009 dataset contains 3 parts showing multi-view sequences containing pedestrians walking in an outdoor environment. The parts are used for perso…
detection, frontview, human, occlusion multitarget, outdoor, overlap, pedestrian, trackingThe multiple foreground video co-segmentation dataset, consisting of four sets, each with a video pair and two foreground objects in common. The dataset …
co-segmentation, segmentation, videoThe TUG (Timed Up and Go test) dataset consists of actions performed three times by 20 volunteers. The people involved in the test are aged between 22 and…
accelerometer, action, depth image processing - tug, human, kinect, recognition, time, video, wearableThe Airport MotionSeg dataset contains 12 sequences of videos of an aiprort scenario with small and large moving objects and various speeds. It is challen…
airport, camera, clustering, motion, segmentation, video, zoomWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions u…
clustering, detection, face, human, identification, multiview, pedestrian, real, recognition, sequence, surveillance, worldThe multi-modal/multi-view datasets are created in a cooperation between University of Surrey and Double Negative within the EU FP7 IMPART project. The …
3d, action, color, dynamic, emotion, face, human, indoor, lidar, model, multi-mode, multi-view, outdoor, rgbd, videoHollywood-2 datset contains 12 classes of human actions and 10 classes of scenes distributed over 3669 video clips and approximately 20.1 hours of video i…
action classification, segmentation, videoThe dataset is composed of 150 synthetic scenes, captured with a (perspective) virtual camera, and each scene contains 3 to 5 objects. The model set is co…
mesh, recognition, segmentation, syntheticParis-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 test sequences provide interested researchers a real-world multi-view test data set captured in the blue-c portals. The data is meant to be used for t…
action, camera, multiview, segmentation, trackingDatabase contains 798 images of 114 persons, with 7 images per person and is freely available for research purposes. All images were taken in supervised c…
biometry, face, human, illumination, lighting, pedestrian, person, recognitionIt is composed of ADL (activity daily living) and fall actions simulated by 11 volunteers. The people involved in the test are aged between 22 and 39, wit…
accelerometer, action, depth, fall detection - adl, human, kinect, recognition, video, wearableThe 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 FaceScrub dataset comprises a total of 107818 unconstrained face images of 530 celebrities crawled from the Internet, with about 200 images per person…
celebrity, detection, face, human, people, recognitionWe present the 2017 DAVIS Challenge, a public competition specifically designed for the task of video object segmentation. Following the footsteps of othe…
benchmark, code, hd, object, quality, resolution, segmentation, tracking, video segmentationThe Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Dataset fe…
aerial, building, city, footprint, groundtruth, house, segmentation, semantic, urbanMICCAI 2015 Challenge on Liver Ultrasound Tracking Munich, October 9, 2015 (Full Day) Outline Ultrasound (US) imaging is a widely used medical imaging…
benchmark, human, liver, medical, organ, real, therapy, tracking, ultrasoundThe Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people.
background, bike, clutter, graz, object detection, occlusion, pedestrianIn HouseCraft, we utilize rental ads to create realistic textured 3D models of building exteriors. In particular, we exploit the address of the property a…
building, city, floorplan, house, localization, registration, segmentation, semantic, streetview, urbanThe 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 SPHERE human skeleton movements dataset was created using a Kinect camera, that measures distances and provides a depth map of the scene instead of th…
action, behavior, depth, human, kinect, motion, movement, skeleton, videoPenn-Fudan Pedestrian Detection and Segmentation
background, detection, motion, pedestrian, segmentationThe 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 Daimler Urban Segmentation Dataset consists of video sequences recorded in urban traffic. The dataset consists of 5000 rectified stereo image pairs wi…
motion, outdoor, segmentation, semantic, stereo, urban200 gray level images along with ground truth segmentations
segmentationThe ETHZ Shape classes dataset from Vittorio Ferrari [?] consists of five object classes and a total of 255 images. All classes contain significant intra-…
applelogo, bottle, clutter, giraffe, matching, mug, nature, object detection by shape, segmentation, swanThe YouTube-Objects dataset is composed of videos collected from YouTube by querying for the names of 10 object classes. It contains between 9 and 24 vide…
detection, flow, object, optical, segmentation, videoThe Microsoft COCO (mscoco) is an image recognition and segmentation dataset which contains more 300k images for more than 70 categories. Other features…
benchmark, context, detection, object, recognition, segmentation, semanticThe domain-specific personal videos highlight dataset from the paper [1] describes a fully automatic method to train domain-specific highlight ranker for…
action, domain, human, recognition, saliency, summarization, video, wearableClassification/Detection Competitions, Segmentation Competition, Person Layout Taster Competition datasets
segmentationThe High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedestr…
benchmark, camera, detection, high-definition, human, indoor, lisbon, multiview, network, pedestrian, re-identification, surveillance, tracking, videoDataset contains 1000 images of 100 persons, with 10 images per person and is freely available. All images were acquired by cropping ears from images from…
biometry, ear, human, lighting, pedestrian, person, 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, understandingThe 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for b…
3d, biometry, emotion, face, frontview, recognition, segmentationThe contour patches dataset is a large dataset of images patch matches used for contour detection. References: C. L. Zitnick and D. Parikh The Role o…
contour, detection, edge, image, lowlevel, match, patch, segmentationWelcome to the homepage of the gvvperfcapeva datasets. This site serves as a hub to access a wide range of datasets that have been created for projects of…
action, depth, face, human, mesh, multiview, pose, reconstruction, tracking, videoThe PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor ro…
detection, fisheye, human, indoor, omnidirectional, people, perspective, room, surveillanceDataset 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, recognition10 videos as inputs, and segmented image sequences as ground-truth
segmentationScene Parsing Benchmark Scene parsing data and part segmentation data derived from ADE20K dataset could be download from MIT Scene Parsing Benchmark. m…
annotation, benchmark, recognition, scene, segmentation, semanticAt 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, videoPedestrian Color Naming (PCN) dataset contains 14,213 images, each of which hand-labeled with color label for each pixel.
color naming, pedestrian, segmentationThe PSU HUB dataset is a detection, tracking dataset. Ground truth trajectory and grouping information for pedestrians walking in the PSU student union bu…
crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe 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, urbanGeometric Context Dataset: pixel labels for seven geometric classes for 300 images
segmentationThe goal of LabelMe is to provide an online annotation tool to build image databases for computer vision research. You can contribute to the database by v…
object detection, outdoor, semantic, semantic segmentation, software, urbanScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and insta…
3d, cad, indoor, layout, object, realism, recognition, rendering, room, scene, segmentation, syntheticThe UCF Person and Car VideoSeg dataset consists of six videos with groundtruth for video object segmentation. Surfing, jumping, skiing, sliding, big ca…
camera, groundtruth, model, motion, object, segmentation, videoThe Pedestrian Parsing dataset contains 3,673 images from 171 videos of different Surveillance Scenes (PPSS), where 2,064 images are occluded and 1,609 ar…
parsing, pedestrian, segmentationThe Robotic 3D Scan Repository from Osnabrueck contains 23 different datasets showing a veriaty of 3D scans for objects, humans, cities, university campus…
3d, aerial, bremen, city, germany, heat, human, laser, lidar, osnabrueck, reconstruction, scan, urbanGround truth database of 50 images with: Data, Segmentation, Labelling - Lasso, Labelling - Rectangle
segmentationContains hand-labelled pixel annotations for 38 groups of images, each group containing a common foreground. Approximately 17 images per group, 643 images…
segmentationThe .enpeda.. Image Sequence Analysis Test Site (EISATS) offers sets of long bi- or trinocular image sequences recorded in the context of vision-based dri…
analysis, flow, motion, optical, segmentation, semantic, stereo, visionThe Geosemantic is a dataset of object locations from GIS and a query image with metadata. It is used to project the buildings and streets that are in the…
geography, gis, gps, segmentation, semantic, supervisedThe Zurich Summer v1.0 dataset is a collection of 20 chips (crops), taken from a QuickBird acquisition of the city of Zurich (Switzerland) in August 2002.…
aerial, annotation, city, gsd, nir, pan, rgb, satellite, segmentation, semantic, superpixel, urban, zurichThe Shefeld Kinect Gesture (SKIG) dataset contains 2160 hand gesture sequences (1080 RGB sequences and 1080 depth sequences) collected from 6 subjects. Al…
action, depth, gesture, human, illumination, kinect, recognitionImage segmentation and boundary detection. Grayscale and color segmentations for 300 images, the images are divided into a training set of 200 images, and…
segmentationA New Color Image Database for Benchmarking of Face Detection Techniques and Human Skin Segmentation Techniques. A new color face image database for be…
benchmarking, detection, face, segmentation, skinThe FAce Semantic SEGmentation (FASSEG) repository contains datasets for multi-class semantic face segmentation. The FASSEG repository is composed by tw…
face, segmentationThis 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, urbanJPL First-Person Interaction dataset (JPL-Interaction dataset) is composed of human activity videos taken from a first-person viewpoint. The dataset parti…
action, human, interactive, motion, recognition, videoThe Our Database of Faces (ORL) dataset contains ten different images of each of 40 distinct subjects. For some subjects, the images were taken at differe…
expression, face, human, illumination, recognitionBackground Models Challenge (BMC) is a complete dataset and competition for the comparison of background subtraction algorithms. The main topics concern:…
background, change, detection, modeling, motion, segmentation, surveillance, videoNetflix released an anonymized version of their movie rating dataset; it consists of 100 million ratings, done by 480,000 users who have rated between 1 a…
movie, ranking328 side-view color images of horses that were manually segmented. The images were randomly collected from the WWW.
segmentationA 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, localizationThe Video Segmentation Benchmark (VSB100) provides ground truth annotations for the Berkeley Video Dataset, which consists of 100 HD quality videos divide…
benchmark, groundtruth, motion, object, pedestrian, segmentation, tracking, videoThe PETS 2006 dataset contains 7 parts showing multi-sensor sequences containing left-luggage scenarios with increasing scene complexity at a train statio…
frontview, indoor, multitarget, object detection, object tracking, pedestrianThe GaTech VideoSeg dataset consists of two (waterski and yunakim?) video sequences for object segmentation. There exists no groundtruth segmentation an…
camera, model, motion, object, segmentation, videoThe 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, textureUnlike the previous SHREC contests, the objective of this SHREC 2012 contest is to evaluate the performance of 3D-mesh segmentation techniques instead of …
3d, mesh, part, segmentationThe Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban e…
object detection, pedestrian, urbanThe ETHZ Extended Shape classes dataset from Konrad Schindler is larger dataset of shape categories, created by merging ETHZ shape classes with Konrad Sch…
clutter, object detection by shape, segmentationGaze data on video stimuli for computer vision and visual analytics. Converted 318 video sequences from several different gaze tracking data sets with p…
gaze data, metadata, polygon annotation, segmentation, videoThe DynTex dataset consists of a comprehensive set of Dynamic Textures. Dynamic, or temporal, texture is a spatially repetitive, time-varying visual patte…
dynamic, segmentation, synthetic, texture, video repetitionThe database of nude and non-nude videos contains a collection of 179 video segments collected from the following movies: Alpha Dog, Basic Instinct, Befor…
movie, nude detection, videoThe PASCAL VOC Challenge datasets by Mark Everingham is a yearly dataset which has a central evaluation server and the final test data is not released. Th…
airplane, animal, building, car, chair, object detection, object pose, object segmentation, pedestrianCows for object segmentation, Five video sequences for motion segmentation
segmentationThe current video database containing six types of human actions (walking, jogging, running, boxing, hand waving and hand clapping) performed several time…
action classification, segmentation, videoChairGest is an open challenge / benchmark. The task consists in spotting and recognizing gestures from multiple synchronized sensors: 1 Kinect and 4 Xse…
benchmark, detection, gesture, human, kinect, recognitionPermanently growing database on lung tuberculosis patients. The data include radiological images (CT+XRay) plus social, clinical, and lab data as well as …
chest, ct, genome, medical, none, segmentation, tuberculosis, xrayThe Stanford 40 Actions dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performing …
action, boundingbox, detection, human, recognitionThis dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challenges…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThe Western GCO Segmentation problem instances are provided to compare effects of graph size, neighborhood size, length of s to t paths, regional arc cons…
abdomen, adhead, babyface, binary, bone, face, liver, medical, optimization, segmentationMIT Pedestrian dataset from Papageorgiou and Poggio [IJCV2000] contains 509 training and 200 test images of pedestrians in city scenes (plus left-right re…
boundingbox, frontview, object detection, pedestrian, people, urbanSceneNet RGB-D is dataset comprised of 5 million Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. It expands the previous work of…
3d, indoor, lighting, navigation, reconstruction, rendering, robot, scene, segmentation, slam, synthetic, trajectoryThis work attempts to provide two Hand Images Databases for hand biometrics: one is created using a mobile phone camera of modest quality, which we call…
authentication, biometric/ hand geometry, identification, mobile, person, segmentation, shape, webcamThe 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 SegTrack dataset consists of six videos (five are used) with ground truth pixelwise segmentation (6th penguin is not usable). The dataset is used for …
camera, flow, groundtruth, model, motion, object, optical, proposal, segmentation, stationary, videoThe Leeds Cows dataset by Derek Magee consists of 14 different video sequences showing a total of 18 cows walking from right to left in front of different…
animal, background, cow, detection, segmentation, videoThe 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, textureWe would like to announce the release of PASCAL-Context dataset. We augmented PASCAL VOC 2010 dataset with annotations for 400+ additional categories. In …
benchmark, category, dense, pascal, recognition, segmentation, semantic, shapeThe SUNCG dataset is a Large 3D Model Repository for Indoor Scenes. SUNCG is an ongoing effort to establish a richly-annotated, large-scale dataset of…
3d, indoor, layout, object, realism, recognition, rendering, room, scene, segmentation, syntheticThe Berkeley Video Segmentation Dataset (BVSD) contains videos for segmentation (boundary?) Dataset train Dataset test
benchmark, segmentation, videoISPRS Test Project on Urban Classification, 3D Building Reconstruction and Semantic Labeling. In this part of our working group site you will get further …
3d, aerial, benchmark, canada, city, germany, multiview, photogrammetry, recognition, segmentation, semantic, urbanGroup emotion recognition in images - Happiness Intensity labels for group of people in images. The images have been collected from Flickr using keyword s…
behavior, emotion, facial expression, flickr, group, human, wildThe VOT2016 pixel-wise annotations dataset contains pixel-wise per-frame annotations for sequences from VOT2016 dataset. The annotation is in a form of BW…
annotation, mask, object, segmentation, tracking, visualThe 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, videoWe provide the three datasets used for testing our system for our ICCV 2007 publication, including annotations. Data was recorded using a pair of AVT Marl…
crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryWe present a new large-scale dataset that contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities, with high q…
car, cities, detection, pedestrian, person, segmentation, semantic, stereo, urban, video, weaklyThe ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult d…
graz, object detection, semantic, semantic segmentation, urbanThe ICG Lab 6 (Multi-Camera Multi-Object Tracking) dataset contains 6 indoor people tracking scenarios recorded at our laboratory using 4 static Axis P134…
calibration, camera, detection, evaluation, graz, laboratory, multiview, object, pedestrian, segmentation, trackingWe share our omnidirectional and panoramic image dataset (with annotations) to be used for human and car detection. Please reach through: http://cvrg.iyt…
car, detection, human, omnidirection, panorama, recognitionThe Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognitio…
aerial, crowd, object detection, object tracking, occlusion, overlap, pedestrian, trajectoryThis dataset contains videos of crowds and other high density moving objects. The videos are collected mainly from the BBC Motion Gallery and Getty Images…
segmentationThe crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense crow…
anomaly, crowd, detection, human, pedestrian, scene, understanding, videoThe TUD Motorbike dataset from Bastian Leibe contains 115 images collected from the internet. Each image contains one or more motorbikes at different scal…
motorbike, object detection, pascalThese sequences were used for our video interpolation work described in High-quality video view interpolation using a layered representation, C.L. Zitn…
3d reconstruction, camera, depth, segmentationThe LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedure…
facade, recognition, rectified, segmentation, semantic, urbanUBC3V is a synthetic dataset for training and evaluation of single or multiview depth-based pose estimation techniques. The nature of the data is similar …
multiview depth based pose estimation, segmentationt is composed of food intake movements, recorded with Kinect V1 (320240 depth frame resolution), simulated by 35 volunteers for a total of 48 tests. The d…
age, behavior, food, groundtruth, human, intake, kinect, monitoring, pointcloud, trackingThe THUS10000 benchmark dataset comprises of 10,000 images, each of which has an unambiguous salient object and the object region is accurately annotated …
attention, saliency, salient object detection, segmentation, visualThe 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annotati…
3d, building, depth, indoor, large-scale, normal, panorama, reconstruction, segmentation, semanticCOCO-Stuff augments the COCO dataset with pixel-level stuff annotations for 10,000 images. These annotations can be used for scene understanding tasks lik…
annotation, benchmark, captioning, coco, groundtruth, segmentation, semantic, stuff, thingsWe introduce the Shelf dataset for multiple human pose estimation from multiple views. In addition we annotate the body joints in the Campus dataset from …
3d, capture, estimation, human, motion, multiple, pose, viewThe video co-segmentation dataset contains 4 video sets which totally has 11 videos with 5 frames of each video labeled with the pixel-level ground-trut…
co-segmentation, dataset, segmentation, videoShakeFive2 A collection of 8 dyadic human interactions with accompanying skeleton metadata. The metadata is frame based xml data containing the skeleton…
human, interaction, kinect, videoThe Paris Art Deco Facades dataset consists of 79 / 80 images of rectified facades of the architectural style Art Deco, which has different sizes of windo…
architecture, city, facade, grammar, paris, procedural, recognition, segmentation, semantic, urbanThe Leuven Stereo Scene dataset is a scene and depth dataset. There exist two variants of this dataset - a CVPR 2007 paper [1] by Leibe et al. for detecti…
3d, depth, leuven, reconstruction, segmentation, semantic, sfm, stereo, urbanThe INRIA Horses dataset from Frederic Jurie and Vittorio Ferrari consists of 170 images with one or more horses in side-view at several scales and clutte…
clutter, horse, nature, object detection by shape, segmentationDaimler Multi-Cue, Occluded Pedestrian Classification Benchmark Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border aro…
image classification, object detection, pedestrian, urbanThe Video Summarization (SumMe) dataset consists of 25 videos, each annotated with at least 15 human summaries (390 in total). The data consists of videos…
action, benchmark, event, groundtruth, human, summary, videoThe Weizmann actions dataset by Blank, Gorelick, Shechtman, Irani, and Basri consists of ten different types of actions: bending, jumping jack, jumping, j…
action, action classification, segmentation, videoThe Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation ha…
background, bike, car, clutter, graz, object detection, pedestrianThe TUD Crossing dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 201 images with 1008 highly overlapping pedestrians with signific…
detection, multitarget, overlap, pedestrian, segmentation, sideview, tracking, urban