This website provides a list of frequently used computer vision datasets. Wait, there is more!
There is also a description containing common problems, pitfalls and characteristics and now a searchable TAG cloud.
Plus, this is open for crowd editing (if you pass the ultimate turing test)! - Questions? yacvid [at] hayko [dot] at
Content, Design and Idea © by Hayko Riemenschneider, 2011-2018. Texts and Images are subject of copyright by the respective authors.
Hey! If you're reading this, why not help and update the description of the dataset you're working on? Add a new dataset! Yay!
«showing 684 tags of 684 total tags for 482 datasets (1.42) »
|464||vegetation synthetic real||Data from: Intercomparison of photogrammetry software for three-dimensional vegetation modelling Probst A, Gatziolis D, Strigul N Date Published: June 12,...||vegetation synthetic real 3d model reconstruction software benchmark plant||link||2018-08-09||85|
|399||Osnabrück - Synthetic Scalable Cube Dataset||Voxel Based Dataset for Systematic 3D reconstruction by artificial neural networks (ANNs). A synthetic scalable cube dataset for training, testing and valida...||3D, Deep Learning, Reconstruction, SfM, Synthetic city urban||link||2018-02-13||415|
|376||ScanNet||ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-le...||scene indoor synthetic cad room layout rendering realism 3d segmentation object recognition||link||2017-05-12||495|
|375||SUNCG: Indoor Scenes||The 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 s...||scene indoor synthetic room layout rendering realism 3d segmentation object recognition||link||2018-10-17||648|
|374||SceneNet RGB-D Synthetic Indoor||SceneNet RGB-D is dataset comprised of 5 million Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. It expands the previous work of Scene...||scene indoor synthetic robot navigation rendering 3d reconstruction trajectory lighting segmentation slam||link||2017-05-02||530|
|357||udacity self-driving-car||At Udacity, we believe in democratizing education. How can we provide opportunity to everyone on the planet? We also believe in teaching really amazing and usef...||car robot driving autonomous street urban video recognition detection classification segmentation time synthetic||link||2017-03-15||962|
|352||4D Light Field Dataset (HCI Heidelberg & CVIA Konstanz)||A synthetic light field dataset with 24 scenes. Data provided for each scene: - 9x9x512x512x3 light fields as individual PNGs - config files with camera s...||light field, ground truth, synthetic, disparity, depth||link||2016-12-05||844|
|347||MOCAT (TUB Multi-Object and Multi-Camera Tracking Dataset)||The 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 world....||synthetic tracking detection multi-class multi-view evaluation pedestrian vehicle animal||link||2018-08-31||1009|
|332||Multi-FoV - Large Field-of-View Cameras for Visual Odometry||The 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 differ...||visual odometry camera fov synthetic groundtruth blender||link||2016-08-11||850|
|216||CVC Partial Occlusion Virtual Pedestrian||The CVC Partial Occlusion Virtual Pedestrian datasets (CVC-01 to CVC-06) cover a range of scenarios of occluded pedestrians generated in a virtual and real envi...||detection classification tracking pedestrian synthetic urban occlusion||link||2016-03-15||1690|
|177||SIPI textures||The Textures volume currently contains 154 images, all monochrome, 129 512x512 and 25 1024x1024. For the Brodatz texture images, the number in parenthesis (i...||texture, segmentation, classification, benchmark, synthetic, evaluation||link||2013-08-20||1303|
|176||Brodatz Album||The Brodatz dataset consists of 112 textures in grayscale images of various texture types. http://www.ee.oulu.fi/research/imag/texture/image_data/Brodatz32.h...||texture, segmentation, classification, benchmark, synthetic||link||2014-12-23||1569|
|175||Outex texture bench||The Outex dataset is part of a framework for empirical evaluation of texture classification and segmentation algorithms. The framework is being constructed acc...||texture, segmentation, classification, benchmark, synthetic||link||2015-11-17||973|
|172||DynTex dataset||The DynTex dataset consists of a comprehensive set of Dynamic Textures. Dynamic, or temporal, texture is a spatially repetitive, time-varying visual pattern tha...||texture, segmentation, dynamic, synthetic, video repetition||link||2013-08-12||1053|
|137||Synthetic CAD models||The Synthetic CAD Models dataset consists of X synthetic CAD models for detection (planar) primitives. Efficient RANSAC for Point-Cloud Shape Detection Ruwe...||model, ransac, 3d object, reconstruction, primitive, synthetic||link||2013-08-08||1091|
|136||3D Object in Clutter Recognition and Segmentation||The 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 composed...||recognition, segmentation, mesh, synthetic||link||2013-08-08||1167|
|71||University of Tsukuba Stereo Flow||This dataset contains 1800 stereo pairs with ground truth disparity maps, occlusion maps and discontinuity maps that will help to further develop the state of t...||flow, depth, stereo, graphics, synthetic, optical,||link||2013-08-08||2143|
|70||MPI Sintel Flow||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 crea...||flow, depth, stereo, graphics, synthetic||link||2013-08-08||1188|
|55||Prague Texture Segmentation||The Prague Texture Segmentation Datagenerator and Benchmark is designed to mutually compare and rank different (dynamic/static) texture segmenters (supervised o...||texture, segmentation, classification, benchmark, synthetic||link||2013-08-08||1012|