The ECP New York dataset contains 10 manually segmented buildings from New York City, USA. Segmentation evaluating using Dice coefficient is calculated for the corresponding 1D horizontal and vertical segmentations as well as the complete 2D binary segmentation. The topology/structure of the segmentation is evaluated by comparison of the correctness of the retrieved number of patterns. The measure is defined such that [Teboul2011]: A pattern is supposed to be detected if its label in the Markov chain has a non-zero size: w6= 0. Therefore, we can count the number of detected patterns nd and compare it to the ground truth ngt and compute the topological precision.
This is a dataset of rectified facade images and semantic labels. The goal of the annotation is to study the layout of the facades. It contains 50 imag…
graz, procedural reconstruction, semantic, semantic segmentation, urbanThe Ecole Centrale Paris 2010 (Paris 2010) dataset consists of 30 images of densely annotated building facades in seven classes - wall, window, sky, shop,…
paris, procedural reconstruction, semantic, semantic segmentation, urbanThe ECP Paris 2011 dataset consists of 104 images taken from rue Monge in the fifth district of Paris, we kept only 20 for training and 10 for testing. …
paris, procedural reconstruction, semantic, semantic segmentation, urbanThe Cambridge-driving Labeled Video Database (CamVid) dataset from Gabriel Brostow [?] contains ten minutes of video footage and corresponding semanticall…
3d reconstruction, depth, semantic, semantic segmentation, sfm, urbanThe 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, urbanThe eTrims dataset is comprised of two datasets, the 4-Class eTRIMS Dataset with 4 annotated object classes and the 8-Class eTRIMS Dataset with 8 annotate…
procedural reconstruction, semantic segmentation, urbanThe 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 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 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, zurichWe 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, weaklyCMU/VMR Urban Image+Laser dataset contains 372 images linked with 3D laser points projections. There are additional images (due to the laser scanner being…
3d reconstruction, laser, semantic segmentation, sfm, urbanThe Weather and Illumination Database (WILD) is an extensive database of high quality images of an outdoor urban scene, acquired every hour over all seaso…
camera, change, depth, estimation, illumination, light, newyork, static, time, urban, video, weather, webcamThe 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, urbanThis 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, urbanThe MSRC v2 dataset is an extension of the MSRC v1 dataset from Microsoft Research in Cambridge. It contains 591 images and 23 object classes with accurat…
outdoor, semantic, semantic segmentationThe 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, urbanThis repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purpos…
3d reconstruction, laser, semantic segmentation, sfm, urbanThe 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, urbanThe MSRC vNIPS dataset is the MSRC v2 dataset with new annotations for much more accurate segmentations for 93 images. Efficient Inference in Fully Conn…
outdoor, semantic, semantic segmentationThe MSRC v1 dataset from Microsoft Research in Cambridge contains 240 images and 9 object classes with coarse pixel-wise labeled images. The dataset is c…
outdoor, semantic, semantic segmentationThe 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, urbanIn 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 KU Leuven Facade dataset is used for architectural styles classification. M. Mathias, A. Martinovic, J. Weissenberg, S. Haegler, L. Van Gool: Automa…
architecture, image classification, procedural reconstruction, 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 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, 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, urbanISPRS 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, urbanThe 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, urbanThe NYU-Depth data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Ki…
depth, kinect, label, reconstruction, semantic 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, semanticZurich Hoengg (Switzerland) is an aerial dataset. The dataset consists of 4 aerial images in colour (Figures 2-5), scanned with 14 microns, the format …
aerial, outdoor, semantic segmentationAt 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, videoZurich City Hall dataset (also CIPA dataset) nformation: Place: City Hall, Zurich, Switzerland Number of Images: 15, 1280 x 1000 pixels Camera: Fuji …
3d reconstruction, photogrammetry, sfm, urban, zurichThe San Francisco Landmark Dataset for Mobile Landmark Recognition is a set of images and query images for localization. We present the San Francisco La…
calibration, city, gps, landmark, localization, mobile, retrieval, sanfrancisco, urbanBelgiumTSC 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, urbanThe Rent3D dataset comprises floorplans and images. The goal of this work is to enable a 3D virtual-tour of an apartment given a small set of monocular im…
apartment, building, floorplan, indoor, layout, reconstruction, urbanThis UIUC Cars dataset by Shivani Agarwal, Aatif Awan and Dan Roth contains images of side views of cars for use in evaluating object detection algorithms…
car, detection, recognition, scale, sideview, urbanImage memorability dataset contains target and filler images, precomputed features and annotations, and memorability. It gives features and annotations …
aesthetics, image quality, memorability, semanticThis site is dedicated to provide datasets for the Robotics community with the aim to facilitate result evaluations and comparisons. The datasets presente…
3d, city, laser, nature, urbanThe 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, urbanThe Swedish Traffic Sign Recognition provides Matlab code for parsing the annotation files and displaying the results. Part0 for each set contains the ann…
city, detection, recognition, sign, traffic, urbanThe .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, supervisedPlaces205 dataase contains 2.5 million images from 205 scene categories for the academic public. The image dataset contains 2,448,873 images from 205 sc…
feature, learning, place, recognition, scene, urbanThe 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, urbanOur repetitive pattern dataset with 106 images of app. 30 buildings from Pankrac, Prague and Marseille appearing in more than one image, number of appeara…
image classification, image retrieval, repetition, symmetry, urbanThe Dubrovnik6K and Rome16K datasets are image collections for SfM reconstruction, where the suffix refers to the number of images in the dataset. Dubro…
3d reconstruction, dubrovnik, landmark, rome, sfm, urbanThe York Urban Line Segment Database is a compilation of 102 images (45 indoor, 57 outdoor) of urban environments consisting mostly of scenes from the cam…
geometry, manhattan, outdoor, pose estimation, reconstruction, urban, vanishing pointThe 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 city planar and non-planar datset consists of urban scenes accompanied by text files describing the plane/non-plane locations. Training Set (Univer…
3d, building, detection, estimation, plane, urbanThe 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, urbanThe Caltech Buildings dataset consists of images taken for 50 buildings around the Caltech campus. Five different images were taken for each building from…
building, caltech, hierarchy, retrieval, taxonomy, urbanThe Paris dataset consists of 6412 images. Images have high resolution and are in JPEG format. http://www.robots.ox.ac.uk/~vgg/data/parisbuildings/pari…
image retrieval, landmark, paris, urbanMIT 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, urbanAesthetic Visual Analysis (AVA) dataset studies the organization of content by aesthetic preference. It contains over 250,000 images along with a rich var…
aesthetics, image quality, memorability, semanticThe 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, yearWe 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, shapeISPRS / EuroSDR Benchmark for Multi-Platform Photogrammetry In these pages you can get information about the BENCHMARK FOR MULTI-PLATFORM PHOTOGRAMMETRY…
3d, aerial, benchmark, city, germany, multiview, photogrammetry, reconstruction, switzerland, urbanThe Traffic Video dataset consists of X video of an overhead camera showing a street crossing with multiple traffic scenarios. The dataset can be downlo…
detection, overhead, road, tracking, traffic, urban, video, viewThis is a subset of the dataset introduced in the SIGGRAPH Asia 2009 paper, Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences.…
camera, change, illumination, light, nature, static, time, urban, video, webcamThe Caltech Lanes dataset includes four clips taken around streets in Pasadena, CA at different times of day. The archive below includes 1225 individual…
caltech, detection, lane, pasadena, road, urbanThe 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, vehicleThe 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 NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft…
depth, kinect, label, reconstruction, semantic segmentationCMP Dataset by Ondra Chum contains 5 million images collected from the internet.
image retrieval, large scale, urbanThe Oxford Buildings dataset by James Philbin and Andrew Zisserman consists of 5062 images collected from Flickr by searching for particular Oxford landma…
image retrieval, landmark, oxford, urbanThe Deformed Lattice Detection In Real-World Images dataset is used for regular grid detection. The authors have developed a robust and fast lattice detec…
lattice detection, symmetry, texture segmentation, urbanThe 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, semanticThe 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, urbanThe 1DSfM Landmarks is a collection of community-based image reconstruction by Kyle Wilson and is comprised of 14 datasets with comparison to bundler grou…
3d, benchmark, city, groundtruth, landmark, reconstruction, urbanThe Google Street View dataset contains 62,058 high quality Google Street View images. The images cover the downtown and neighboring areas of Pittsburgh, …
address, google, gps, localization, manhattan, panorama, pittsburgh, retrieval, sphere, streetview, urbanCOCO-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, thingsSheffield Building Image Dataset consists of over 3,000 low-resolution images of forty different buildings typically between 70 and 120 images per buildi…
image classification, image retrieval, sheffield, urbanThe Symmetry Facades dataset contains 9 building facades with multiple images. It used for coupled symmetry and structure from motion detection. Couple…
3d, building, facade, reconstruction, repetition, sfm, symmetry, urbanThe Google Street View Pittsburgh Research dataset is a street-level image collection provided by Google for research purposes. The dataset provided he…
3d reconstruction, panorama, pittsburgh, sfm, urbanThe Symmetric Bundle Adjustment dataset contains four sequences of the CAB building, Barcelona, Redmond and Capitole for 3D reconstruction considering sym…
3d reconstruction, bundle adjustment, sfm, symmetry, urbanDaimler 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 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, urbanBelgiumTS 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 German Traffic Sign Recognition Benchmark is a dataset for multi-class detection problem in natural images and do cordially invite you to participate.…
detection, recognition, traffic, traffic sign, urbanDaimler 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 Eurasian Cities dataset contains 103 images of outdoor urban scenes taken in Eurasian cities. It is annotated with horizontal and vertical vanishing p…
geometry, line, manhattan, outdoor, point, pose, reconstruction, urban, vanishingThe New College Data Set contains 30GB of data intended for use by the mobile robotics and vision research communities. Our anticipated users are parties …
3d, navigation, odometry, panorama, path, reconstruction, stereo, urbanParis-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 TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situations. It consist…
car, detection, highway, object, spain, traffic, transportation, urban, vehicleThe Colosseum and San Marco are two image datasets for dense multiview stereo reconstructions used for evaluating the visual photo realism. The datasets…
3d reconstruction, aerial, flickr, landmark, photo-realism, sfm, streetside, urbanThe 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, videoThe Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data.
autonomous, deep, driving, endtoend, learning, urbanSince its launch in September 1999, Space Imaging IKONOS earth imaging satellite has provided a reliable stream of image data that has become the standard…
3d reconstruction, aerial, photogrammetry, sfm, urbanThe Symmetry set dataset is a collection of images at different illuminations for the purpose of image matching using local symmetry features. Image Mat…
building, feature, illumination, image, lighting, matching, symmetry, urbanZuBuD+, created in February 2017 by Federico Magliani (University of Parma), introduces many query images balancing the class evaluated from the previous …
building, image retrieval, landmark, urbanThe Quad 6K dataset is a Structure-from-Motion dataset taken at Arts Quad at Cornell University campus and consists of 6514 images with ground truth posit…
3d gps, 3d reconstruction, groundtruth, landmark, sfm, urbanSome datasets and evaluation tools are provided on this page for four different computer vision and computer graphics problems. Population counting Lin…
3d, counting, crowd, detection, groundtruth, line, network, object, pedestrian, pointcloud, reconstruction, road, surface, urbanThe Hopkins 155 Dataset has been created with the goal of providing an extensive benchmark for testing feature based motion segmentation algorithms. It co…
motion segmentation, optical flow, stereo estimation, urbanThe Daimler Mono Pedestrian Detection Benchmark dataset contains a large training and test set. The training set contains 15.560 pedestrian samples (image…
detection, mono, object, outdoor, pedestrian, scale, urbanISPRS and EuroSDR - Benchmark on High Density Aerial Image Matching Background and Scope of the project Innovations in matching algorithms as well as …
3d, aerial, benchmark, city, germany, multiview, photogrammetry, reconstruction, switzerland, urbanThe 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 automotive multi-sensor (AMUSE) dataset consists of inertial and other complementary sensor data combined with monocular, omnidirectional, high frame …
api, city, image, inertial, streetside, traffic, urban, videoAbstract 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, worldThe Zurich Building dataset (ZuBud) from Hao Shao, Tomas Svoboda and Luc Van Gool [?] contains 1005 images with 201 buildings each in five views. There is…
image retrieval, procedural, rectification, urban