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.
Hey! If you're reading this, why not help and update the description of the dataset you're working on?
Add a new dataset
«showing 562 tags of 562 total tags for 417 datasets (1.35) »
|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||271|
|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||2015-03-27||583|
|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||912|
|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||1112|
|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||720|
|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||801|
|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||778|
|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||770|
|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||739|