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, 2011-2016. Texts and Images are subject of copyright by the respective authors.
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«showing 641 tags of 641 total tags for 454 datasets (1.41) »
|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 illuminiation||link||2018-03-15||37|
|336||Procedural texture perceptual similarity||The procedural texture perceptual similarity dataset contains a list of procedural textures along with their pairwise distances, as defined by a perceptual stud...||texture procedural benchmark study||link||2016-09-21||402|
|274||UBO 2014 Materials||The UBO 2014 consists of 7 semantic categories. Each of these 7 material categories contains measurements of 12 different material instances for being capable t...||material light illumination texture classification recognition||link||2018-03-10||714|
|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||1086|
|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||1320|
|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||845|
|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||938|
|62||Deformed Lattice Detection||The Deformed Lattice Detection In Real-World Images dataset is used for regular grid detection. The authors have developed a robust and fast lattice detection a...||texture, segmentation, symmetry, lattice, detection, urban||link||2013-03-11||888|
|59||Near-Regular Textures||The Near-Regular Textures dataset contains textures from completely regular to completely irregular patterns, with a focus on near-regular textures. It also inc...||texture, segmentation, classification, symmetry, regular, stochastic||link||2013-03-11||892|
|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||864|