This section describes main characteristics of the texture data set and its attributes:
General information
Texture data set |
Type | Classification | Origin | Real world |
Features | 40 | (Real / Integer / Nominal) | (40 / 0 / 0) |
Instances | 5500 |
Classes | 11 |
Missing values? | No |
Attribute description
Attribute | Domain | Attribute | Domain | Attribute | Domain |
A1 | [-1.45, 0.774] | A15 | [-0.943, 0.164] | A28 | [-1.154, 0.422] |
A2 | [-1.2, 0.33] | A16 | [-0.994, 0.036] | A29 | [-1.132, 0.392] |
A3 | [-1.31, 0.344] | A17 | [-1.172, 0.02] | A30 | [-1.422, 0.472] |
A4 | [-1.11, 0.588] | A18 | [-1.017, 0.115] | A31 | [-1.45, 0.774] |
A5 | [-1.053, 0.439] | A19 | [-1.004, 0.083] | A32 | [-1.179, 0.565] |
A6 | [-1.003, 0.452] | A20 | [-1.18, 0.439] | A33 | [-1.147, 0.675] |
A7 | [-1.208, 0.525] | A21 | [-1.45, 0.774] | A34 | [-1.123, 0.313] |
A8 | [-1.08, 0.398] | A22 | [-1.228, 0.596] | A35 | [-1.015, 0.34] |
A9 | [-1.057, 0.437] | A23 | [-1.341, 0.446] | A36 | [-1.03, 0.156] |
A10 | [-1.258, 0.355] | A24 | [-1.177, 0.688] | A37 | [-1.253, 0.09] |
A11 | [-1.45, 0.774] | A25 | [-1.137, 0.41] | A38 | [-1.097, 0.194] |
A12 | [-1.083, 0.372] | A26 | [-1.11, 0.373] | A39 | [-1.076, 0.202] |
A13 | [-1.119, 0.635] | A27 | [-1.239, 0.612] | A40 | [-1.215, 0.465] |
A14 | [-1.018, 0.157] | Class | {2, 3, 4, 9, 10, 7, 6, 8, 12, 13, 14} |
Additional information
The aim in this data set is to distinguish between 11 different textures (Grass lawn, Pressed calf leather, Handmade paper, Raffia looped to a high pile, Cotton canvas, ...), each pattern (pixel) being characterised by 40 attributes built by the estimation of fourth order modified moments in four orientations: 0, 45, 90 and 135 degrees.
In this section you can download some files related to the texture data set:
- The complete data set already formatted in KEEL format can be downloaded from
here.
- A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here.
- A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here.
- The header file associated to this data set can be downloaded from here.
- This is not a native data set from the KEEL project. It has been obtained from the ELENA project. The original page where the data set can be found is: https://www.elen.ucl.ac.be/neural-nets/Research/Projects/ELENA/databases/REAL/texture/.
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