The Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data: Make3D Image and Laser Depthmap Image and Laser and Stereo Image and 1D Laser Image and Depth for Objects Video and Depth (coming soon) Different types of examples are there---outdoor scenes (about 1000), indoor (about 50), synthetic objects (about 7000), etc.
The 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, modelThe 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 KTH Multiview Football dataset contains 771 images of football players includes images taken from 3 views at 257 time instances 14 annotated body jo...
recognition, soccer, outdoor, object, pedestrian, game, pose, multiview, tracking, camera, multitarget, detectionThe ICG Multi-Camera datasets consist of Easy Data Set (just one person) Medium Data Set (3-5 persons, used for the experiments) Hard Data Set (cro...
graz, indoor, video, object, pedestrian, multiview, tracking, camera, multitarget, detection, calibrationZurich 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, outdoorThe Mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research. Ground truth: Over 60,000 pedestrians wer...
video, pedestrian, crowd, counting, tracking, detection, indoor, webcamThe 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 accur...
semantic segmentation, semantic, outdoorFor 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 ICG Multi-Camera and Virtual PTZ dataset contains the video streams and calibrations of several static Axis P1347 cameras and one panoramic video fr...
graz, outdoor, video, object, panorama, pedestrian, network, crowd, multiview, tracking, camera, multitarget, detection, calibrationThe 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, indoorPN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the...
face, pedestrian, singletarget, learning, bike, object trackingSceneNet 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 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 PETS 2006 dataset contains 7 parts showing multi-sensor sequences containing left-luggage scenarios with increasing scene complexity at a train stat...
pedestrian, indoor, frontview, object tracking, object detection, multitargetThe 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, outdoorEstimate robust and reliable depth or motion fields on our challenging real world videos!
optical flow, stereo depth, outdoorAWS 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 MSR Learning to Rank are two large scale datasets for research on learning to rank: MSLR-WEB30k with more than 30,000 queries and a random sampling ...
sampling, search, learning, rankThe Longterm Pedestrian dataset consists of images from a stationary camera running 24 hours for 7 days at about 1 fps. It used for adaptive detection ...
coffee, graz, background, indoor, illumination, change, pedestrian, robust, multitarget, detectionThe 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 detectionThe MSRC v1 dataset from Microsoft Research in Cambridge contains 240 images and 9 object classes with coarse pixel-wise labeled images. The dataset is...
semantic segmentation, semantic, outdoorThe CMU Geometric Context dataset by Derek Hoiem, Alexei A. Efros, Martial Hebert consists of 300 images used for training and testing the geometric con...
single view, 3d reconstruction, geometry, depth, contextThe 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 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, semanticThis 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 MSRC vNIPS dataset is the MSRC v2 dataset with new annotations for much more accurate segmentations for 93 images. Efficient Inference in Fully Co...
semantic segmentation, semantic, outdoorThe Extreme Classification Repository: Multi-label Datasets & Code Kush Bhatia Himanshu Jain Prateek Jain Manik Varma The objective in extreme mu...
multilabel, machine, learning, benchmark, evaluation, classificationThe 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, syntheticThis web page presents visual-inertial datasets collected on-board a Micro Aerial Vehicle (MAV). The datasets contain stereo images, synchronized IMU me...
slam, global shutter, indoor, aerial vehiclesThe 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, semanticScanNet 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, syntheticThe 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 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, geometryAn indoor action recognition dataset which consists of 18 classes performed by 20 individuals. Each action is individually performed for 8 times (4 dayt...
video, open-view, cross-view, recognition, indoor, action, multi-cameraThis 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 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, peopleThe TVPR dataset includes 23 registration sessions. Each of the 23 folders contains the video of one registration session. Acquisitions have been perfor...
person, depth, recognition, indoor, top-view, video, clothing, gender, reidentification, identification, peopleThe 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 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, geometryAiguille du Midi. France showing photographs with Camera: Mamiya ZD. 55mm. - Resolution: 5Mpixels, 53 images - Photographer: B. Vallet (Imagine/EVD - 20...
3d reconstruction, large scale, sfm, outdoor, meshPlaces205 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 Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data.
driving, urban, learning, endtoend, deep, autonomous