The Robotic 3D Scan Repository from Osnabrueck contains 23 different datasets showing a veriaty of 3D scans for objects, humans, cities, university campus, heat and laser information. by Dorit Borrmann and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 and a Optris PI IR camera. It contains several 3D scans taken at a residential house in Germany. The data set contains two parts. (a) The outside view of the house consisting of data collected at 11 different poses. (b) The inside view of the house consisting of data collected at 17 different poses on the ground floor. The points from the laser scans are attributed with the thermal information from the camera. Pose files are calculated using 3DTK based on odometry information. Note: Inside and outside view are not registered into one common coordinate system. You can download the inside data set and the outside data set. Further information can be found in the README. Thermal 3D Point Cloud from a Residential House by Dorit Borrmann and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 and a Optris PI IR camera. It contains several 3D scans taken in the city center of Bremen, Germany. The data set consists of data collected at 11 different poses. The points from the laser scans are attributed with the thermal information from the camera. Pose files are calculated using 3DTK based on odometry information. You can download the complete data set Further information can be found in the README. Thermal 3D Point Cloud of the City Center of Bremen by Dorit Borrmann and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 and a Optris PI IR camera. It contains several 3D scans taken in downtown Bremen around the Gaussian Point, the central point of the first cartography of Bremen and its surroundings. The data set consists of data collected at 3 different poses. The points from the laser scans are attributed with the thermal information from the camera. Pose files are calculated using 3DTK based on odometry information. You can download the complete data set Further information can be found in the README. Multimodal Point Cloud of Automation Lab by Dorit Borrmann from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400, a Optris PI IR camera and a Logitech QuickCam 9000 Pro camera. It contains several 3D scans taken around the Automation Lab at Jacobs University Bremen. The data set consists of data collected at different poses. The points from the laser scans are attributed with the thermal information and color information from the cameras. Pose files are calculated using 3DTK based on odometry information. You can download the complete data set Further information can be found in the README. Multimodal Point Cloud of Automation Lab by Dorit Borrmann, Jan Elseberg, HamidReza Houshiar, and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 and a Canon 1000D camera with 10 Megapixel. The camera has been co-calibrated with the scanner, such that a color is mapped to the 3D points of the laser scanner. The complete data set is given as text file (x,y,z,r,g,b) using Riegls coordinate system definitions as well as in the .las format. by Prashant K.C., Dorit Borrmann, Jan Elseberg, and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 on the campus of the Jacobs University Bremen. The data set contains 3D scans, covers almost all of the campus and is therefore quite large (122 scans @ 1.2 Gb each). Using reflective markers, the scans were manually registered. You can download the complete data set containing the point clouds and the poses obtained from the manual registration. In addition, we provide the accurate registration that was computed using 3DTK. See this README for instructions on how to match the data set. Birds eye view of Jacobs campus by Dorit Borrmann, and Hassan Afzal from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 and a Optris PI IR camera. It contains several 3D scans taken around the Automation Lab at Jacobs University Bremen. The data set consists of scans and thermal images taken at different poses. You can download the complete data set containing the point cloud colored with the thermal information and the poses obtained from odometry. In addition, we provide the original data and the calibration parameters. Further information can be found in the README. Thermal Point Cloud of Automation Lab by Dorit Borrmann, and Jan Elseberg, and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400, it contains several 3D scans taken at the Schlachte in Bremen. In addition, we provide manually registrations using markers. You can download the data set in two parts here: part 1 and part 2. Further information can be found in the description of the Bremen City data sets. Schlachte Bremen 3D by Dorit Borrmann, and Jan Elseberg, and Andreas Nchter from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ-400 in December 2009. It contains several 3D scans that have been registered manually using a marker-based approach. The registration has be visially inspected and verified. You can download the complete data set. Furthermore, we provide a README (Bremen city data set) file and the poses obtained using markers. 3D Rescue Arena by Johannes Pellenz (WTD 51, Koblenz, Germany), Frank Neuhaus, Denis Dillenberger and Dagmar Lang (Active Vision Group, University of Koblenz-Landau, Germany). This data set was recorded using a Velodyne HDL-64E S2 during the Response Robot Evaluation Exercise in March 2010 in Disaster City, College Station, Texas (USA). The Velodyne 3D LRF data was captured with 10 Hz, the IMU data with 100 Hz, the GPS data with 1 Hz and the camera data with 30 Hz (MJPG compressed). The dataset features several loops around Disaster City (on roads and through rough terrain with slopes). The full logfile is available in the Koblenz file format, containing all the above mentioned sensor data. Acknowledgements: We thank Robert Bolling and Chris Scrapper from The MITRE Corporation for providing the robot Centaur and the sensors. 3D Scans Disaster City by Johannes Pellenz, and Dagmar Lang (Active Vision Group, University of Koblenz-Landau, Germany). This data set was recorded using a Velodyne HDL-64E S2 at the University Campus of Koblenz. Apart from the Velodyne LRF, the following sensors were mounted onto the car and recorded: front, left, right camera (Philips SPC 1330 NC, 640x480, 30fps, MJPG compressed), xSens MT-i IMU, Navilock USB GPS Receiver, Speed information delivered by an OBD device attached to the car. The car drove two laps around the university campus. The data set is available in two formats: The scans of one Velodyne revolution per second, following the data format used in Osnabrck. The full logfile in Koblenz file format, containing all the above mentioned sensor data. This file format is specified in the README file. 3D Scans Koblenz Campus by Dorit Borrmann, and Jan Elseberg from Jacobs University Bremen gGmbH, Germany. This data set was recorded using a Riegl VZ400 Scanner in the city center of Bremen. The single 3D scans have been initally merged using markers as tiepoints, but the result can be improved using slam6D. In the following linked pdf-files the changes are visable ([PDF] Riegl markers as tie points, [PDF] slam6D matching. You can download the complete data set. Furthermore, we provide a README file and the final poses are computed by slam6D. 3D Scans Bremen by Stefan Fuchs, Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Germany. This data set was recorded using a Swissranger in a controlled environment in the Institute of Robotics and Mechatronics at the German Aerospace Center (DLR). The data set contains filtered 3D point clouds as well as initial start guesses computed via feature matching using the reflectance images. The files are converted into slam6D files. You can download the complete data set. The the data set above contains filteres data, please consult Stefan Fuchs webpage for the original data. The data was acquired using a KUKA manipulator moving on a circular path with a diameter of 180mm. The 180 files contain the complete loop, thus featuring steps of 2 degree. by Martin Magnusson, AASS, rebro University, Sweden. This data set was recorded in the AASS building. It contains 60 3D scans in wrl format. The archive contains a README-file and a pose file for the scans. You can download the complete data set. by Oliver Wulf, Leibniz University, Hannover, Germany. This data set was recorded at the University Campus. It contains 924 3D scans, covering a trajectory of about 1.24 km. Each 3D scan contains approx. 16,600 data points. The single 3D scans as well as initial pose estimates are given. You can download the complete data set. Please refer to README for further information about the file formats. by Oliver Wulf, Leibniz University, Hannover, Germany. This data set was recorded at the University Campus. It contains 468 3D scans, each with approx. 20,000 data point. The single 3D scans as well as initial pose estimates are given. You can download the complete data set or parts of it. Please refer to the file README for further information about the file formats. For the above two data sets Hannover1 and Hannover2 ground truth data is availabe on request. Please contact Andreas Nchter to get this data. For the area ground truth data in form of a 2D map provided by the German land registry office (Katasteramt) is available. This map contains the buildings with a precision of 1 cm. In addition, we obtained airborne based 3D data. Based on this data so-called reference data is generated as follows (see Figure below): The 2D map is extrapolated to 3D by vertical 3D points and fused with the 3D data from the airplane. The result is a precise 3D reference map. Using this 3D reference map, we generate ground truth poses for all 3D laser scans by matching the scans with the reference map. We thank Claus Brenner (Leibniz University of Hannover) for letting us use the airborne 3D data. by Andreas Nchter and Kai Lingemann, University of Osnabrck, Germany. This data set was recorded at Dagstuhl castle, during the workshop Towards Affordance-Based Robot Control. It contains 82 3D scans, each with 81,360 data point. The single 3D scans and a precise 6D pose information are given. You can download the complete data set or parts of it. Please refer to the file README for further information about the file formats. by Martin Magnusson (AASS, rebro, Sweden), Andreas Nchter (University of Osnabrck, Germany) and Christopher Lrken (University of Osnabrck, Germany). This data set was recorded at the Kvarntorp mine, near to rebro, Sweden. It contains the data of 4 independent robot runs with over 250 3D scans, each with 81,360 data points. The single 3D scans and a pose estimte by odometry (2D) are given. You can download the complete data set. Please refer to the file README for further information about the file formats. by Dorit Borrmann, Jan Elseberg, Andreas Nchter, and Kai Lingemann (all University of Osnabrck, Germany). This data set was recorded at the AVZ building of University of Osnabrck, Germany. It contains the data of 63 3D scans, each with 81.360 data points. The single 3D scans and a pose estimte by odometry (2D) are given. You can download the complete data set, including a readme file. It contains two closed loops. by Johannes Pellenz, and Peter Schneider (University of Koblenz-Landau, Germany). This data set was recorded during the RoboCup Rescue Competition 2008 in SUZHOU CHINA. The format follows the convention used in Osnabrck, so please see readme for a format description. You can download the complete data set by Hartmut Surmann (Fraunhofer IAIS, Sankt Augustin, Germany), Andreas Nchter (University of Osnabrck, Germany) and Kai Lingemann (University of Osnabrck, Germany). This data set was recorded at the Fraunhofer Campus Sankt Augustin, Germany. It contains the data of 76 3D scans, each with 81.360 data point. The single 3D scans and a pose estimte by odometry (2D) are given. You can download the complete data set. Please refer to the file README for further information about the file formats. by Andreas Nchter University of Osnabrck, Germany. This data set was recorded at the University of Osnabrck, Germany. It contains 29 3D scans and each 3D scan was recorded with remission values. This value quantifies the amount of light that was returned to the scanner, i.e., a grey value. This data set has been used to evaluate object detection functions. You can download the complete data set. Please refer to the file README for further information about the file formats. by Andreas Nchter University of Osnabrck, Germany. This data set was recorded at the Fraunhofer Campus Sankt Augustin, Germany. It contains 100 3D scans of one or two human and each 3D scan was recorded with remission values. This value quantifies the amount of light that was returned to the scanner, i.e., a grey value. This data set has been used to learn the 3D object human. You can download the complete data set. Please refer to the file README for further information about the file formats.Several large scale 3D point cloud data sets from 3D laser scanning (terrestrial LiDAR) are provided which can be used for testing different algorithms for 3D reconstruction.
ISPRS / EuroSDR Benchmark for Multi-Platform Photogrammetry In these pages you can get information about the BENCHMARK FOR MULTI-PLATFORM PHOTOGRAMMET...
urban, benchmark, reconstruction, aerial, photogrammetry, germany, 3d, multiview, switzerland, cityISPRS and EuroSDR - Benchmark on High Density Aerial Image Matching Background and Scope of the project Innovations in matching algorithms as well a...
urban, benchmark, reconstruction, aerial, photogrammetry, germany, 3d, multiview, switzerland, cityISPRS Test Project on Urban Classification, 3D Building Reconstruction and Semantic Labeling. In this part of our working group site you will get furthe...
urban, benchmark, recognition, aerial, canada, segmentation, photogrammetry, germany, 3d, multiview, city, semanticThe 1DSfM Landmarks is a collection of community-based image reconstruction by Kyle Wilson and is comprised of 14 datasets with comparison to bundler gr...
urban, 3d, benchmark, city, reconstruction, landmark, groundtruthISPRS Test Project on Urban Classification and 3D Building Reconstruction The ISPRS working group III/4 announces the release of the 2D semantic label...
urban, reconstruction, recognition, building, 3d, classification, city, semanticThis site is dedicated to provide datasets for the Robotics community with the aim to facilitate result evaluations and comparisons. The datasets presen...
urban, laser, 3d, city, natureThe multi-modal/multi-view datasets are created in a cooperation between University of Surrey and Double Negative within the EU FP7 IMPART project. Th...
rgbd, color, dynamic, multi-view, action, outdoor, video, 3d, face, emotion, lidar, human, indoor, multi-mode, modelSome datasets and evaluation tools are provided on this page for four different computer vision and computer graphics problems. Population counting L...
urban, surface, reconstruction, pointcloud, object, road, pedestrian, network, line, 3d, crowd, counting, detection, groundtruthThe Inria Aerial Image Labeling addresses a core topic in remote sensing: the automatic pixelwise labeling of aerial imagery (link to paper). Dataset ...
house, urban, aerial, building, segmentation, footprint, groundtruth, city, semanticThe 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 detec...
urban, stereo, depth, reconstruction, leuven, segmentation, 3d, semantic, sfmThe Yotta dataset consists of 70 images for semantic labeling given in 11 classes. It also contains multiple videos and camera matrices for 14km or driv...
urban, reconstruction, video, segmentation, 3d, classification, camera, semanticThe New College Data Set contains 30GB of data intended for use by the mobile robotics and vision research communities. Our anticipated users are partie...
urban, stereo, reconstruction, path, panorama, 3d, odometry, navigationThe 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 200...
annotation, urban, pan, gsd, superpixel, nir, aerial, satellite, segmentation, zurich, rgb, city, semanticThe Farman Institute 3D Point Sets dataset contains 11 objects by a 3D laser scanner. This dataset was peer-reviewed by Image Processing On Line: Farman...
object, scanner, 3d, reconstruction, point, model, laserThe Symmetry Facades dataset contains 9 building facades with multiple images. It used for coupled symmetry and structure from motion detection. Coup...
urban, reconstruction, facade, building, 3d, repetition, symmetry, sfmThis ETHZ CVL RueMonge 2014 dataset used for 3D reconstruction and semantic mesh labelling for urban scene understanding. It was first published in [1...
benchmark, paris, reconstruction, pointcloud, outdoor, 3d, source, architecture, semantic, code, urban, mesh, recognition, segmentation, classificationThe York Urban Line Segment Database is a compilation of 102 images (45 indoor, 57 outdoor) of urban environments consisting mostly of scenes from the c...
vanishing point, urban, reconstruction, outdoor, pose estimation, manhattan, geometryThe 3DVis dataset includes a set of 12 heterogeneous scenes for testing 3D scene registration and analysis methods. Models include homogeneous shapes, r...
3d, registration, reconstruction, shape, matching, symmetryThis dataset package contains the software and data used for Detection-based Object Labeling on the RGB-D Scenes Dataset as implemented in the paper: ...
object, 3d, kinect, reconstruction, depth, recognition, indoorThe Landmark 1000 or 1k dataset is a collection of the top 1000 popular flickr landmarks mined from flickr. It is maintained by Noah Snavely and publi...
estimation, location, reconstruction, pointcloud, world, 3d, pose, landmarkFor the first few decades of the fields existence, computer vision has been focused on algorithmic, logical approaches to perception. But it was only wi...
object, 3d, kinect, reconstruction, depth, recognition, indoorThe automotive multi-sensor (AMUSE) dataset consists of inertial and other complementary sensor data combined with monocular, omnidirectional, high fram...
urban, api, image, video, inertial, streetside, traffic, cityThis dataset provides a collection of web images and 3D models for research on landmark recognition (especially for methods based on 3D models). We hope...
codebook, reconstruction, matching, recognition, retrieval, 3d, classification, feature, flickr, landmarkCMU/VMR Urban Image+Laser dataset contains 372 images linked with 3D laser points projections. There are additional images (due to the laser scanner bei...
urban, 3d reconstruction, laser, semantic segmentation, sfmThis repository contains labeled 3-D point cloud laser data collected from a moving platform in a urban environment. Data are provided for research purp...
urban, 3d reconstruction, laser, semantic segmentation, sfmThe 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 ...
building, urban, reconstruction, floorplan, layout, apartment, indoorThe Ford Car dataset is joint effort of Pandey et al. (for collecting images, Lidar points, calibration etc.) and us (for annotation of 2D and 3D object...
lidar, detection, groundtruth, 3d, car, sfmThe Colosseum and San Marco are two image datasets for dense multiview stereo reconstructions used for evaluating the visual photo realism. The datase...
urban, aerial, streetside, 3d reconstruction, photo-realism, flickr, landmark, sfmThe 2D-3D-S dataset provides a variety of mutually registered modalities from 2D, 2.5D and 3D domains, with instance-level semantic and geometric annota...
reconstruction, depth, large-scale, indoor, normal, building, panorama, segmentation, 3d, semanticThe Paris Art Deco Facades dataset consists of 79 / 80 images of rectified facades of the architectural style Art Deco, which has different sizes of win...
urban, paris, grammar, facade, recognition, segmentation, procedural, architecture, semantic, cityIn HouseCraft, we utilize rental ads to create realistic textured 3D models of building exteriors. In particular, we exploit the address of the property...
house, urban, registration, floorplan, building, streetview, segmentation, localization, city, semanticThe Eurasian Cities dataset contains 103 images of outdoor urban scenes taken in Eurasian cities. It is annotated with horizontal and vertical vanishing...
urban, vanishing, reconstruction, manhattan, outdoor, line, pose, point, geometryThe San Francisco Landmark Dataset for Mobile Landmark Recognition is a set of images and query images for localization. We present the San Francisco ...
urban, mobile, sanfrancisco, gps, retrieval, localization, landmark, city, calibrationThe 3D shape description dataset consists of multiple sub-datasets Descriptor Matching - Dataset 1 & 2 (Stanford) These datasets, created from some o...
description, 3d, benchmark, registration, reconstruction, shape, matchingYahoo Flickr Creative Commons 100M (YFCC100M) dataset contains a list of photos and videos. This list is compiled from data available on Yahoo! Flickr. ...
internet, reconstruction, recognition, image, community, social, 3d, clustering, detection, flickr, landmarkThe HCI 4D Lightfields dataset contains 11 objects with corresponding lightfields for depth estimation. Datasets can be downloaded individually below....
3d, benchmark, evaluation, reconstruction, depth, 4d, lightfieldThe city planar and non-planar datset consists of urban scenes accompanied by text files describing the plane/non-plane locations. Training Set (Univ...
building, urban, detection, 3d, estimation, planeSceneNet RGB-D is dataset comprised of 5 million Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. It expands the previous work ...
trajectory, reconstruction, scene, slam, lighting, indoor, segmentation, robot, rendering, 3d, synthetic, navigationThe UrbanStreet dataset used in the paper can be downloaded here [188M] . It contains 18 stereo sequences of pedestrians taken from a stereo rig mounted...
urban, human, recognition, video, pedestrian, segmentation, tracking, multitarget, detectionWe introduce the Shelf dataset for multiple human pose estimation from multiple views. In addition we annotate the body joints in the Campus dataset fro...
motion, multiple, 3d, estimation, capture, pose, human, viewSince its launch in September 1999, Space Imaging IKONOS earth imaging satellite has provided a reliable stream of image data that has become the standa...
urban, 3d reconstruction, photogrammetry, aerial, sfmVoxel Based Dataset for Systematic 3D reconstruction by artificial neural networks (ANNs). A synthetic scalable cube dataset for training, testing and...
deep learning, synthetic city urban, 3d, sfm, reconstructionThe Swedish Traffic Sign Recognition provides Matlab code for parsing the annotation files and displaying the results. Part0 for each set contains the a...
urban, traffic, detection, city, sign, recognitionWelcome 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 ...
face, reconstruction, depth, mesh, human, action, video, pose, multiview, trackingParis-rue-Madame dataset contains 3D Mobile Laser Scanning (MLS) data from rue Madame, a street in the 6th Parisian district (France). The test zone con...
segmentation, 3d, semantic, classification, pointcloud, laserThe MSR Action datasets is a collection of various 3D datasets for action recognition. See details http://research.microsoft.com/en-us/um/people/zliu...
video, detection, 3d, action, reconstruction, recognitionThe Stanford Background Dataset is a new dataset introduced in Gould et al. (ICCV 2009) for evaluating methods for geometric and semantic scene understa...
segmentation, urban, geometry, semantic, classification, natureJPL First-Person Interaction dataset (JPL-Interaction dataset) is composed of human activity videos taken from a first-person viewpoint. The dataset par...
video, motion, action, interactive, recognition, humanThe Our Database of Faces (ORL) dataset contains ten different images of each of 40 distinct subjects. For some subjects, the images were taken at diffe...
illumination, face, recognition, human, expressionThe Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature. The web-nature dat...
object, urban, fine-grained, classification, recognition, vehicle, car, attributeThe Microsoft Research Cambridge-12 Kinect gesture dataset consists of sequences of human movements, represented as body-part locations, and the associa...
gesture, recognition, human, action, kinectThe LabelMeFacade dataset contains buildings, windows, sky and a limited number of unlabeled regions (maximally 20% covering of the image). This procedu...
segmentation, urban, semantic, recognition, facade, rectifiedThe 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 pos...
urban, 3d reconstruction, groundtruth, sfm, landmark, 3d gpsAbstract Scene understanding has (again) become a focus of computer vision research, leveraging advances in detection, context modeling, and tracking. ...
scene, segmentation, pedestrian, 3d, classification, understanding, car, semanticDataset 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 th...
motion, foot, human, recognition, gait, action, classification, biometry, pressureThe Shefeld Kinect Gesture (SKIG) dataset contains 2160 hand gesture sequences (1080 RGB sequences and 1080 depth sequences) collected from 6 subjects. ...
illumination, gesture, kinect, depth, recognition, human, actionThe Zurich Building dataset (ZuBud) from Hao Shao, Tomas Svoboda and Luc Van Gool [?] contains 1005 images with 201 buildings each in five views. There ...
image retrieval, urban, procedural, rectificationThe MSR RGB-D Dataset 7-Scenes dataset is a collection of tracked RGB-D camera frames. The dataset may be used for evaluation of methods for different a...
video, kinect, location, reconstruction, depth, trackingThe CHALEARN Multi-modal Gesture Challenge is a dataset +700 sequences for gesture recognition using images, kinect depth, segmentation and skeleton dat...
gesture, skeleton, kinect, depth, human, recognition, action, illumination, segmentationThis is a subset of the dataset introduced in the SIGGRAPH Asia 2009 paper, Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequence...
urban, nature, time, webcam, video, illumination, change, static, camera, lightThe ICG Graz240 dataset consists of 240 buildings with 5400 redundant images with a total of 5542 window instances. Window detection itself is difficult...
urban, semantic segmentation, semantic, object detection, grazThe PASCAL VOC is augmented with segmentation annotation for semantic parts of objects. For example, for the person category, we provide segmentation ma...
part, human, recognition, object, pedestrian, segmentation, pascal, detection, semanticThe Stanford 3D Scanning Repository dataset is a compilation of 3D scans of objects like Stanford Bunny, Happy Buddha, Dragon, Armadillo and Lucy. These...
triangulation, 3d reconstruction, laser, bunnyWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions...
face, real, human, recognition, world, pedestrian, identification, clustering, multiview, surveillance, detection, sequenceThe crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense cr...
video, pedestrian, scene, crowd, human, understanding, anomaly, detectionThe Google Street View Pittsburgh Research dataset is a street-level image collection provided by Google for research purposes. The dataset provided ...
panorama, pittsburgh, urban, 3d reconstruction, sfmThis dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challeng...
trajectory, pedestrian, occlusion, crowd, object tracking, overlap, aerial, object detectionThe 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 ...
semantic segmentation, kinect, label, reconstruction, depthThe 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. ...
urban, semantic segmentation, semantic, paris, procedural reconstructionDataset contains 1000 images of 100 persons, with 10 images per person and is freely available. All images were acquired by cropping ears from images fr...
person, pedestrian, ear, recognition, human, lighting, biometryThe Caltech Lanes dataset includes four clips taken around streets in Pasadena, CA at different times of day. The archive below includes 1225 individu...
caltech, urban, road, pasadena, detection, laneThe Video Summarization (SumMe) dataset consists of 25 videos, each annotated with at least 15 human summaries (390 in total). The data consists of vide...
video, benchmark, summary, event, human, groundtruth, actionThe Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban...
urban, pedestrian, object detectionDatabase contains 798 images of 114 persons, with 7 images per person and is freely available for research purposes. All images were taken in supervised...
face, person, human, lighting, recognition, illumination, pedestrian, biometryThe GaTech VideoContext dataset consists of over 100 groundtruth annotated outdoor videos with over 20000 frames for the task of geometric context eval...
urban, nature, outdoor, video, segmentation, supervised, classification, context, unsupervised, geometry, semanticThe DTU Robot dataset consists of color images of 60 scenes acquired in a controlled setup from 119 different positions and under different lighting. Fo...
illumination, feature matching, sfm, reconstruction, feature detection, feature descriptionChairGest is an open challenge / benchmark. The task consists in spotting and recognizing gestures from multiple synchronized sensors: 1 Kinect and 4 X...
gesture, detection, benchmark, kinect, recognition, humanThe Paris dataset consists of 6412 images. Images have high resolution and are in JPEG format. http://www.robots.ox.ac.uk/~vgg/data/parisbuildings/pa...
image retrieval, urban, landmark, parisThe Daimler Urban Segmentation Dataset consists of video sequences recorded in urban traffic. The dataset consists of 5000 rectified stereo image pairs ...
segmentation, urban, motion, stereo, semantic, outdoorThe 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 Microso...
semantic segmentation, kinect, label, reconstruction, depthBelgiumTS is a large dataset with 10000+ traffic sign annotations, thousands of physically distinct traffic signs. 4 video sequences recorded with 8 hig...
urban, sign, belgium, road, traffic, classification, camera, calibrationThe PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor ...
perspective, human, indoor, room, surveillance, detection, fisheye, omnidirectional, peopleA large dataset of geotagged face images collected from Flickr. The zip file contains text files containing urls of the images. Face2GPS: Estimating G...
gender, face, geotagged, classification, age, localization, humanWe 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...
urban, stereo, cities, person, video, weakly, segmentation, pedestrian, detection, car, semanticThe Notre Dame de Paris dataset used for 3D SfM reconstruction and contains 715 images provided by Noah Snavely. There are also version for NotreDame...
paris, pointcloud, frontview, limited, 3d reconstruction, 3d, flickr, landmark, sfmThe 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 annota...
urban, semantic segmentation, procedural reconstructionWe take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our tasks of interest ...
stereo, object tracking, depth, reconstruction, detection tracking, object detection, segmentation, odometry, optical flow, semantic car depth, sfmThe object is a plaster reproduction of Temple of the Dioskouroi in Agrigento, Sicily. Click on thumbnail for a full-sized (640x480) image. Resolution o...
3d reconstruction, 3d, benchmark, sfm, multiviewPlaces205 dataase contains 2.5 million images from 205 scene categories for the academic public. The image dataset contains 2,448,873 images from 205 ...
urban, learning, scene, feature, place, recognitionThe INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and...
pedestrian, sideview, boundingbox, frontview, object detection, humanThe dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 5...
segmentation, action, behavior, video surveillance, human, backgroundThe Symmetry set dataset is a collection of images at different illuminations for the purpose of image matching using local symmetry features. Image M...
urban, matching, lighting, image, illumination, building, feature, symmetryt 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...
kinect, age, intake, pointcloud, human, tracking, monitoring, groundtruth, food, behaviorMICCAI 2015 Challenge on Liver Ultrasound Tracking Munich, October 9, 2015 (Full Day) Outline Ultrasound (US) imaging is a widely used medical imagi...
ultrasound, liver, benchmark, real, therapy, human, medical, tracking, organThe 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 a...
wearable, kinect, time, human, recognition, action, depth image processing - tug, accelerometer, videoThe Weather and Illumination Database (WILD) is an extensive database of high quality images of an outdoor urban scene, acquired every hour over all sea...
urban, estimation, depth, weather, time, newyork, webcam, video, illumination, change, static, camera, lightThe Salient Montages is a human-centric video summarization dataset from the paper [1]. In [1], we present a novel method to generate salient montages...
video, saliency, wearable, montage, summarization, humanWe share our omnidirectional and panoramic image dataset (with annotations) to be used for human and car detection. Please reach through: http://cvrg.i...
panorama, detection, car, omnidirection, recognition, humanSVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and ...
urban, real, recognition, text, streetside, world, streetview, classification, detection, numberThe Stable Structure from Motion datasets due to size limitations cannot put the images online. Instead here are the tracked image points and the final ...
church, stability, 3d reconstruction, 3d, robust, geometry, landmark, sfmThe Oxford Buildings dataset by James Philbin and Andrew Zisserman consists of 5062 images collected from Flickr by searching for particular Oxford land...
image retrieval, urban, oxford, landmarkShakeFive2 A collection of 8 dyadic human interactions with accompanying skeleton metadata. The metadata is frame based xml data containing the skelet...
video, human, kinect, interactionThe Ecole Centrale Paris 2010 (Paris 2010) dataset consists of 30 images of densely annotated building facades in seven classes - wall, window, sky, sho...
urban, semantic segmentation, semantic, paris, procedural reconstructionScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and ins...
scene, layout, recognition, indoor, object, cad, segmentation, rendering, 3d, realism, room, syntheticA 66 stereo pairs dataset with their subpixel ground truths. The construction and improvement of algorithms for subpixel stereovision requires very pr...
stereo, depth, pointcloud, noise, stereovision, 3d, groundtruth, subpixelDaimler Stereo Pedestrian Detection Benchmark C. Keller, M. Enzweiler, and D. M. Gavrila, A New Benchmark for Stereo-based Pedestrian Detection, Proc...
urban, pedestrian, object detectionZurich Hoengg (Switzerland) is an aerial dataset. The dataset consists of 4 aerial images in colour (Figures 2-5), scanned with 14 microns, the forma...
semantic segmentation, aerial, outdoorDaimler Multi-Cue, Occluded Pedestrian Classification Benchmark Training and test samples have a resolution of 48 x 96 pixels with a 12-pixel border a...
image classification, urban, pedestrian, object detectionThe BEOID dataset includes object interactions ranging from preparing a coffee to operating a weight lifting machine and opening a door. The dataset is ...
video, object, egocentric, 3d, interaction, pose, trackingThe MOT Challenge is a framework for the fair evaluation of multiple people tracking algorithms. In this framework we provide: - A large collection of...
multiple, benchmark, evaluation, benhttp://motchallenge.net/chmark, dataset, target, video, pedestrian, 3d, tracking, surveillance, peopleOur repetitive pattern dataset with 106 images of app. 30 buildings from Pankrac, Prague and Marseille appearing in more than one image, number of appea...
image retrieval, urban, symmetry, repetition, image classificationThe SPHERE human skeleton movements dataset was created using a Kinect camera, that measures distances and provides a depth map of the scene instead of ...
motion, skeleton, kinect, movement, depth, human, action, video, behaviorAWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have requi...
space, human, recognition, image, amazon, satellite, segmentation, learning, deep, classification, biology, resolutionThe Daimler Mono Pedestrian Detection Benchmark dataset contains a large training and test set. The training set contains 15.560 pedestrian samples (ima...
object, mono, urban, pedestrian, outdoor, scale, detectionThe TUD Crossing dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 201 images with 1008 highly overlapping pedestrians with signif...
urban, sideview, overlap, segmentation, pedestrian, tracking, multitarget, detectionThe Caltech Buildings dataset consists of images taken for 50 buildings around the Caltech campus. Five different images were taken for each building fr...
building, caltech, urban, retrieval, taxonomy, hierarchyThe 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 ...
segmentation, human, buffy, movie, object detectionThis UIUC Cars dataset by Shivani Agarwal, Aatif Awan and Dan Roth contains images of side views of cars for use in evaluating object detection algorith...
urban, sideview, detection, car, recognition, scaleThe CVC Partial Occlusion Virtual Pedestrian datasets (CVC-01 to CVC-06) cover a range of scenarios of occluded pedestrians generated in a virtual and r...
urban, pedestrian, classification, synthetic, occlusion, tracking, detectionThe Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data.
driving, urban, learning, endtoend, deep, autonomousThe Deformed Lattice Detection In Real-World Images dataset is used for regular grid detection. The authors have developed a robust and fast lattice det...
urban, symmetry, lattice detection, texture segmentationMIT Pedestrian dataset from Papageorgiou and Poggio [IJCV2000] contains 509 training and 200 test images of pedestrians in city scenes (plus left-right ...
urban, pedestrian, boundingbox, frontview, people, object detectionThe 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for...
face, emotion, segmentation, 3d, recognition, biometry, frontviewThe Lane Level Localization dataset was collected on a highway in San Francisco with the following properties: * Reasonable traffic * Multiple lane h...
driving, benchmark, autonomous, video, road, gps, map, 3d, localization, carThe FaceScrub dataset comprises a total of 107818 unconstrained face images of 530 celebrities crawled from the Internet, with about 200 images per pers...
face, celebrity, detection, people, recognition, humanThe Symmetric Bundle Adjustment dataset contains four sequences of the CAB building, Barcelona, Redmond and Capitole for 3D reconstruction considering s...
urban, 3d reconstruction, symmetry, sfm, bundle adjustmentZurich City Hall dataset (also CIPA dataset) nformation: Place: City Hall, Zurich, Switzerland Number of Images: 15, 1280 x 1000 pixels Camera: Fuj...
urban, 3d reconstruction, photogrammetry, sfm, zurichBelgiumTSC dataset is built for traffic sign classification purposes. Is is a subset of BelgiumTS dataset and contains cropped images around annotations...
urban, traffic, road, classification, sign, belgiumThe Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year. The dataset c...
driving, street, urban, time, recognition, autonomous, video, segmentation, robot, classification, detection, car, yearSheffield Building Image Dataset consists of over 3,000 low-resolution images of forty different buildings typically between 70 and 120 images per buil...
image retrieval, image classification, urban, sheffieldThe Street View Text (SVT) dataset contains 647 words and 3796 letters in 249 images harvested from Google Street View. The dataset is more challengin...
urban, text recognition, text detection, classification, outdoorThe ECP New York dataset contains 10 manually segmented buildings from New York City, USA. Segmentation evaluating using Dice coefficient is calculated ...
urban, newyork, semantic segmentation, semantic, procedural reconstructionGroup emotion recognition in images - Happiness Intensity labels for group of people in images. The images have been collected from Flickr using keyword...
emotion, wild, flickr, behavior, group, human, facial expressionThe SUNCG dataset is a Large 3D Model Repository for Indoor Scenes. SUNCG is an ongoing effort to establish a richly-annotated, large-scale dataset ...
scene, layout, recognition, indoor, object, segmentation, rendering, 3d, realism, room, syntheticThe Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognit...
trajectory, pedestrian, occlusion, crowd, object tracking, overlap, aerial, object detectionThe domain-specific personal videos highlight dataset from the paper [1] describes a fully automatic method to train domain-specific highlight ranker f...
saliency, domain, wearable, human, recognition, action, video, summarizationUnlike the previous SHREC contests, the objective of this SHREC 2012 contest is to evaluate the performance of 3D-mesh segmentation techniques instead o...
mesh, segmentation, 3d, partThe BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training...
trajectory, object tracking, overlap, object detection, aerial, pedestrian, occlusion, crowdThe Traffic Video dataset consists of X video of an overhead camera showing a street crossing with multiple traffic scenarios. The dataset can be down...
video, urban, traffic, road, overhead, tracking, view, detectionThe Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for ...
video, segmentation, action, behavior, human, backgroundThe RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques ...
pedestrian, 3d, identification, classification, depth, shapeThe KU Leuven Facade dataset is used for architectural styles classification. M. Mathias, A. Martinovic, J. Weissenberg, S. Haegler, L. Van Gool: Auto...
image classification, urban, architecture, procedural reconstructionThe All I Have Seen (AIHS) dataset is created to study the properties of total visual input in humans, for around two weeks Nebojsa Jojic wore a camera ...
similarity, scene, summary, user, indoor, outdoor, video, 3d, clustering, studyThe Cambridge-driving Labeled Video Database (CamVid) dataset from Gabriel Brostow [?] contains ten minutes of video footage and corresponding semantica...
urban, 3d reconstruction, semantic segmentation, semantic, sfm, depthThis 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 im...
urban, semantic segmentation, semantic, procedural reconstruction, grazThe CMP Facade dataset consists of facade images assembled at the Center for Machine Perception, which includes 600 rectified images of facades from var...
urban, similarity, facade, recognition, segmentation, structure, classification, rectification, semanticThe High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedes...
high-definition, benchmark, human, lisbon, indoor, video, re-identification, pedestrian, network, multiview, tracking, surveillance, camera, detectionThe Stanford 40 Actions dataset contains images of humans performing 40 actions. In each image, we provide a bounding box of the person who is performin...
recognition, human, detection, action, boundingboxCMP Dataset by Ondra Chum contains 5 million images collected from the internet.
image retrieval, urban, large scaleA dataset acquired with 3 synchronized sensors (Primesense Carmine 1.09, Microsoft Kinect v2, Canon IXUS 950 IS), featuring: * 30 industry-relevant ob...
object, rgbd, 3d, estimation, pose, texture-lessAt Udacity, we believe in democratizing education. How can we provide opportunity to everyone on the planet? We also believe in teaching really amazing ...
driving, street, urban, time, recognition, autonomous, video, segmentation, robot, classification, detection, car, syntheticThe Google Street View dataset contains 62,058 high quality Google Street View images. The images cover the downtown and neighboring areas of Pittsburgh...
pittsburgh, urban, manhattan, sphere, address, panorama, google, streetview, gps, retrieval, localizationThe TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situations. It consi...
urban, highway, spain, object, traffic, transportation, vehicle, detection, carIt 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, w...
wearable, kinect, fall detection - adl, depth, human, recognition, action, accelerometer, videoThe German Traffic Sign Recognition Benchmark is a dataset for multi-class detection problem in natural images and do cordially invite you to participat...
urban, traffic, recognition, detection, traffic signThe Dubrovnik6K and Rome16K datasets are image collections for SfM reconstruction, where the suffix refers to the number of images in the dataset. Dub...
urban, 3d reconstruction, dubrovnik, sfm, landmark, romeThe Pittsburgh Fast-food Image dataset (PFID) consists of 4545 still images, 606 stereo pairs, 3033600 videos for structure from motion, and 27 privacy-...
video, laboratory, classification, reconstruction, real, food, recognitionThe Hopkins 155 Dataset has been created with the goal of providing an extensive benchmark for testing feature based motion segmentation algorithms. It ...
urban, optical flow, stereo estimation, motion segmentationThe object is a plaster dinosaur (stegosaurus). Click on thumbnail for a full-sized (640x480) image. Resolution of ground truth model: 0.00025m (you may...
3d reconstruction, 3d, benchmark, sfm, multiviewZuBuD+, created in February 2017 by Federico Magliani (University of Parma), introduces many query images balancing the class evaluated from the previou...
building, image retrieval, urban, landmarkThe Daimler Mono Pedestrian Classification Benchmark dataset consists of two parts: a base data set. The base data set contains a total of 4000 pedest...
illumination, object, urban, pedestrian, classification, outdoor, scaleThe PETS 2009 dataset contains 3 parts showing multi-view sequences containing pedestrians walking in an outdoor environment. The parts are used for per...
overlap, human, frontview, occlusion multitarget, outdoor, pedestrian, tracking, detectionThe Synthetic CAD Models dataset consists of X synthetic CAD models for detection (planar) primitives. Efficient RANSAC for Point-Cloud Shape Detectio...
ransac, reconstruction, synthetic, primitive, model fitting, 3d objectThe 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...
urban, semantic segmentation, software, semantic, outdoor, object detection