A synthetic light field dataset with 24 scenes. Data provided for each scene: - 9x9x512x512x3 light fields as individual PNGs - config files with camera settings and disparity ranges - per center view (except for the 4 test scenes): - 512x512 and 5120x5120 depth and disparity maps as PFMs - 512x512 and 5120x5120 evaluation masks as PNGs Publication: Katrin Honauer, Ole Johannsen, Daniel Kondermann, Bastian Goldluecke "A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields" In Asian Conference on Computer Vision (ACCV), 2016
The TVPR dataset includes 23 registration sessions. Each of the 23 folders contains the video of one registration session. Acquisitions have been performe…
clothing, depth, gender, identification, indoor, people, person, recognition, reidentification, top-view, videoThe 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 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 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, textureWe 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 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, syntheticThe CMU Geometric Context dataset by Derek Hoiem, Alexei A. Efros, Martial Hebert consists of 300 images used for training and testing the geometric conte…
3d reconstruction, context, depth, geometry, single viewThis dataset package contains the software and data used for Detection-based Object Labeling on the RGB-D Scenes Dataset as implemented in the paper: De…
3d, depth, indoor, kinect, object, recognition, reconstructionIt 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, wearableA 66 stereo pairs dataset with their subpixel ground truths. The construction and improvement of algorithms for subpixel stereovision requires very prec…
3d, depth, groundtruth, noise, pointcloud, stereo, stereovision, subpixelThe Synthetic CAD Models dataset consists of X synthetic CAD models for detection (planar) primitives. Efficient RANSAC for Point-Cloud Shape Detection …
3d object, model fitting, primitive, ransac, reconstruction, syntheticAn evaluation benchmark for dense MVS for these datasets fountain-P11, Herz-Jesu-P8, entry-P10, castle-P19, Herz-Jesu-P25, castle-P30 . Images (correcte…
3d reconstruction, benchmark, dense, depth, mesh, sfmThe 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, videoWelcome 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 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 segmentationThe 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, skeletonAt 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, videoInstance recognition from depth data. Contains various challenges of Pose, Clutter, Occlusion and similar looking objects (Bonde, U., Badrinarayanan, V., …
depth, detection, instance, poseThis dataset contains 1800 stereo pairs with ground truth disparity maps, occlusion maps and discontinuity maps that will help to further develop the stat…
graphics, optical, optical flow, stereo depth, syntheticScanNet 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, syntheticFor the first few decades of the fields existence, computer vision has been focused on algorithmic, logical approaches to perception. But it was only with…
3d, depth, indoor, kinect, object, recognition, reconstructionThe xawAR16 dataset is a multi-RGBD camera dataset, generated inside an operating room (IHU Strasbourg), which was designed to evaluate tracking/relocaliz…
depth, medicine, operation, recognition, surgery, table, videoThe 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, recognitionThe Multi-FoV synthetic datasets are two synthetic scenes (vehicle moving in a city, and flying robot hovering in a confined room). For each scene, three …
blender, camera, fov, groundtruth, odometry, synthetic, visualThe following are multiview stereo data sets captured in our lab: a set of images, camera parameters and extracted apparent contours of a single rigid obj…
3d reconstruction, dense, depth, mesh, sfmThe Prague Texture Segmentation Datagenerator and Benchmark is designed to mutually compare and rank different (dynamic/static) texture segmenters (superv…
benchmark, synthetic, texture classification, texture segmentationThe Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenthes…
benchmark, classification, evaluation, segmentation, synthetic, textureThe 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 app…
depth, kinect, location, reconstruction, tracking, 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 HCI 4D Lightfields dataset contains 11 objects with corresponding lightfields for depth estimation. Datasets can be downloaded individually below. F…
3d, 4d, benchmark, depth, evaluation, lightfield, reconstructionThe RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques (s…
3d, classification, depth, identification, pedestrian, shapeThe MPI Sintel Flow dataset is an optical flow / stereo dataset based on the Blender movie Sintel: http://www.sintel.org The goal of this project was to…
graphics, optical flow, stereo depth, syntheticSceneNet 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, trajectoryThe TU Berlin Multi-Object and Multi-Camera Tracking Dataset (MOCAT) is a synthetic dataset to train and test tracking and detection systems in a virtual …
animal, detection, evaluation, multi-class, multi-view, pedestrian, synthetic, tracking, vehicleThe 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, textureThe 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 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, webcamThese 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 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 segmentationThe 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, urban