The 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 create a new optical flow data set derived from the open source 3D animated short film Sintel. From this movie, we extracted 35 sequences displaying different environments, characters/objects, and actions. The data set consisting of these scenes exhibits important features not present in the popular Middlebury flow evaluation data set: long sequences, large motions, nonrigidly moving objects, specular reflections, motion blur, defocus blur, and atmospheric effects. To facilitate training, we released the ground truth optical flow for 23 of these sequences. The ground truth optical flow for the remaining 12 sequences is withheld for evaluation purposes.
This dataset contains 1800 stereo pairs with ground truth disparity maps, occlusion maps and discontinuity maps that will help to further develop the st...
optical, optical flow, stereo depth, synthetic, graphicsEstimate robust and reliable depth or motion fields on our challenging real world videos!
optical flow, stereo depth, outdoorAt 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 Multi-FoV synthetic datasets are two synthetic scenes (vehicle moving in a city, and flying robot hovering in a confined room). For each scene, thre...
synthetic, visual, odometry, fov, blender, camera, groundtruthThe Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenth...
segmentation, benchmark, evaluation, classification, synthetic, textureThe Outex dataset is part of a framework for empirical evaluation of texture classification and segmentation algorithms. The framework is being constru...
segmentation, benchmark, classification, synthetic, textureThe Brodatz dataset consists of 112 textures in grayscale images of various texture types. http://www.ee.oulu.fi/research/imag/texture/image_data/Brod...
segmentation, benchmark, classification, synthetic, textureThe 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 ...
mesh, segmentation, recognition, syntheticThe 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, syntheticA synthetic light field dataset with 24 scenes. Data provided for each scene: - 9x9x512x512x3 light fields as individual PNGs - config files with c...
ground truth, light field, disparity, depth, syntheticThe 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 segmentationScanNet 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 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, detectionSceneNet 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 DynTex dataset consists of a comprehensive set of Dynamic Textures. Dynamic, or temporal, texture is a spatially repetitive, time-varying visual pat...
segmentation, dynamic, video repetition, synthetic, textureThe 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 TU Berlin Multi-Object and Multi-Camera Tracking Dataset (MOCAT) is a synthetic dataset to train and test tracking and detection systems in a virtua...
evaluation, multi-view, pedestrian, animal, tracking, multi-class, vehicle, detection, syntheticWe 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 Prague Texture Segmentation Datagenerator and Benchmark is designed to mutually compare and rank different (dynamic/static) texture segmenters (supe...
benchmark, texture segmentation, texture classification, synthetic