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 682 tags of 682 total tags for 477 datasets (1.43) »
|461||wilddash robust||The WildDash Benchmark provides a dataset and benchmark for semantic and instance segmentation. We aim to improve the expressiveness of performance evaluation f...||robust segmentation noise environment lighting fog semantic autonomous||link||2018-06-26||134|
|455||Darmstadt Noise Dataset||The Darmstadt Noise dataset provides a benchmark for denoising performance. Lacking realistic ground truth data, image denoising techniques are traditionally e...||noise denoising benchmark high-resolution groundtruth iso natural real||link||2018-04-18||135|
|435||Shadow Detection/Texture Segmentation||The Shadow Detection/Texture Segmentation Computer Vision Dataset is focused around texture analysis, so each image sequence contains shadows moving in front o...||shadow segmentation texture detection artificial 3d virtual noise illumination||link||2018-11-20||175|
|351||CMLA Subpixel Stereo Dataset||A 66 stereo pairs dataset with their subpixel ground truths. The construction and improvement of algorithms for subpixel stereovision requires very precise t...||stereo stereovision subpixel groundtruth 3D pointcloud noise depth||link||2018-03-12||659|
|344||YACCLAB dataset||The YACCLAB dataset includes both synthetic and real binary images and is suitable for a wide range of applications, ranging from document processing to survail...||Labeling Binary Text Medical Fingerprint Video Surveillance Natural Random Noise||link||2017-11-28||665|