Textures: A Photographic Album for Artists and Designers is a compendium of 112 texture photographs by Phil Brodatz. Dynamic Texture Database : a diverse collection of high-quality dynamic texture videos. Brodatz Album Description (include details on usage, files and paper references) The Brodatz dataset consists of 112 textures in grayscale images of various texture types. (~0.9 GB) Texture dataset with rotated patches as .zip or .7z files. It is composed of 112 grayscale images representing a large variety of natural grayscale textures. It was published in 1966 by Dover Publications. Texture Dataset Texture dataset without rotated patches as .zip or .7z files. The texture images are grayscale and taken under controlled lighting conditions. It is composed of 112 grayscale images representing a large variety of natural grayscale textures. Various algorithms exploit the Brodatz texture database for evaluations, though in most of the cases, the entire database is not employed. Brodatz, CUReT, PSU Near-regular Texture Dataset, etc. The Describable Textures Dataset (DTD) is an evolving collection of textural images in the wild, annotated with a series of human-centric attributes, inspired by the perceptual properties of textures. This new dataset complements the existing benchmarks (e.g. Different papers use various number of image sets from this dataset. PSU Near-Regular Texture Database : A collection of Near-Regular Textures. Brodatz Texture Dataset : 112 texture images for synthesis and recognition. Dataset: Brodatz (13 classes, 16 samples class) Texture descriptor Rotation angle 00 10 20 30 40 50 60 70 80 90 Avg. f 0 1 78.3 77.7 74.7 75.6 78.2 80.9 76.0 73.8 80.0 81.4 77.7 f 1 76.4 76.1 74.2 75.2 78.7 78.5 75.8 73.0 77.3 80.5 76.6 f 1 jj f 1 95.0 87.9 77.0 63.6 65.7 71.1 64.2 75.5 92.0 96.4 78.8 f 1 jj f 1 jj f 1 95.0 87.7 76.2 63.8 65.5 70.2 65.0 73.9 92.2 96.4 78.6 For example, 23 distinct natural textures are selected from the Brodatz album in (Laine and Fan, 1993). is album provides a very useful natural texture database, which has been widely used to evaluate texture discrimination methods [ ]. The standard Brodatz grayscale texture album has been widely used as a validation dataset [16, 17]. We used two image datasets to validate the proposed descriptor: the Kylberg Sintorn Rotation Dataset and the Brodatz Texture Rotation Dataset. Download dataset Download code Evaluation Citation Textures: A Photographic Album for Artists and Designers is a compendium of 112 texture photographs by Phil Brodatz. Feature extraction and machine learning based classification of brodatz's texture using keras and svm - saunair/Brodatz-texture-classification The image data for texture classification contains 32 textures from the Brodatz album. The detailed information on image dataset is given in Table A 1.1. USPTex Dataset : 2292 samples of 191 texture classes (12 samples per class). texture. It was published in 1966 by Dover Publications.The texture images are grayscale and taken under controlled lighting conditions. We also introduced a new texture dataset, which contains rotated texture images from Brodatz’s Album. Each texture is accompanied by a brief description of the contents and the conditions under which it was taken, and a unique identifier. 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brodatz texture dataset

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