ALOT texture classification dataset

The following classification dataset and problems are derived from the Amsterdam Library of Textures (ALOT) color image database made of 250 classes of textures. Each of the 3 tables below correspond to a given variation in acquisition conditions. For technical details about the image acquisition conditions, see ALOT website.


Image files are named according to the following pattern: <class>_<camera><illumination>, where:

Download ALOT images at half resolution (768×512 pixels, 4GB)


Each problem is described by 3 files according to the Outex description:

Download all problems (see below for individual problem download)


Table 1: Classification datasets with illuminant variations (1 variation)

Problem ID Camera Number of train images Train images file names Number of test images Test image file names Link
000_illuminant-c1 c1 250 (250×1) 001_c1l8..250_c1l8 250 (250×1) 001_c1i..250_c1i Download
001_illuminant-c2 c2 250 (250×1) 001_c2l8..250_c2l8 250 (250×1) 001_c2i..250_c2i Download
002_illuminant-c3 c3 250 (250×1) 001_c3l8..250_c3l8 250 (250×1) 001_c3i..250_c3i Download
003_illuminant-c4 c4 250 (250×1) 001_c4l8..250_c4l8 250 (250×1) 001_c4i..250_c4i Download
All above problems Download

Table 2: Classification datasets with illumination direction variations (5 variations)

Problem ID Camera Number of train images Train images file names Number of test images Test image file names Link
004_incidence-c1 c1 250 (250×1) 001_c1l8..250_c1l8 1250 (250×5) 001_c1l(1..5)..250_c1l(1..5) Download
005_incidence-c2 c2 250 (250×1) 001_c2l8..250_c2l8 1250 (250×5) 001_c2(1..5)..250_c2(1..5) Download
006_incidence-c3 c3 250 (250×1) 001_c3l8..250_c3l8 1250 (250×5) 001_c3(1..5)..250_c3(1..5) Download
007_incidence-c4 c4 250 (250×1) 001_c4l8..250_c4l8 1250 (250×5) 001_c4(1..5)..250_c4(1..5) Download
All above problems Download

Table 3: Classification datasets with observation direction variations (3 variations)

Problem ID Illumination Number of train images Train images file names Number of test images Test image file names Link
008_observation-l1 l1 250 (250×1) 001_c1l1..250_c1l1 750 (250×3) 001_c(2..4)l1..250_c(2..4)l1 Download
009_observation-l2 l2 250 (250×1) 001_c1l2..250_c1l2 750 (250×3) 001_c(2..4)l2..250_c(2..4)l2 Download
010_observation-l3 l3 250 (250×1) 001_c1l3..250_c1l3 750 (250×3) 001_c(2..4)l3..250_c(2..4)l3 Download
011_observation-l4 l4 250 (250×1) 001_c1l4..250_c1l4 750 (250×3) 001_c(2..4)l4..250_c(2..4)l4 Download
012_observation-l5 l5 250 (250×1) 001_c1l5..250_c1l5 750 (250×3) 001_c(2..4)l5..250_c(2..4)l5 Download
013_observation-l8 l8 250 (250×1) 001_c1l8..250_c1l8 750 (250×3) 001_c(2..4)l8..250_c(2..4)l8 Download
014_observation-i i 250 (250×1) 001_c1i..250_c1i 750 (250×3) 001_c(2..4)i..250_c(2..4)i Download
All above problems Download