Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2018-09-24 000000m 05:48:40 - Overview

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Attribute Current Content New
Name (Institute + Shorttitle)NewBarkTex 
Description (include details on usage, files and paper references)The BarkTex database includes six tree bark classes, with 68 images per class. To build the New BarkTex set, a region of interest, centered on the bark and whose size is 128 128 pixels, is first defined. Then, four sub-images whose size is 64 64 pixels are extracted from each region. We thus obtain a set of 68 4 = 272 sub-images per class. To ensure that color texture images used for the training and the testing stages are less correlated as possible, the four sub-images extracted from a same original image all belong either to the training subset or to the testing one: 816 images are thus used for the training and the remaining 816 for the testing stage.

Please cite this dataset using the following reference:

[1] A. Porebski, N. Vandenbroucke, L. Macaire and D. Hamad, A new benchmark image test suite for evaluating color texture classification schemes, Multimedia Tools and Applications Journal, vol. 70, no. 1, pp. 543556, 2014. 
URL Linkhttps://www-lisic.univ-littoral.fr/~porebski/BarkTex_image_test_suite.html 
Files (#)
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)Bark, texture, computer vision, classification 
Last Changed2018-09-24 
Turing (2.12+3.25=?) :-)