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--- |
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license: cc-by-4.0 |
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task_categories: |
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- image-segmentation |
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tags: |
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- fabric |
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- textile |
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pretty_name: FabWrinkle-13 |
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size_categories: |
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- 10K<n<100K |
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viewer: false |
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--- |
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# FabWrinkle-13 |
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### Description |
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FabWrinkle-13, a newly generated dataset of 15,187 synthetic images covering 13 different types of plain and patterned fabrics. The dataset was created using a synthetic data generation pipeline that employs OpenGL with Gouraud shading, Lambertian illumination, and random camera positions. Wrinkles were generated by dropping a cloth mesh from a height onto random obstacles. |
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Folders are named by the category of the fabric. In each folder there are 3 files for each data. |
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* The fabric image - type: png, filename: "unique id", ex: 10522300.png |
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* JSON file with meta data, corner information, used obstacles - type: json, filename: "same unique id", ex: 10522300.json |
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* The wrinkle mask - type:png, filename: "same unique id"-d, ex: 10522300-d.png |
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### Fabric Image Counts |
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| Fabric Name | Image Count | |
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|-------------|-------------| |
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| bubble | 1053 | |
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| camo | 1255 | |
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| floral_1 | 1232 | |
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| floral_2 | 1204 | |
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| floral_3 | 934 | |
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| msu_1 | 1009 | |
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| msu_2 | 1012 | |
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| plain_1 | 2101 | |
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| plain_2 | 1030 | |
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| plain_3 | 1067 | |
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| plain_4 | 1048 | |
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| plain_5 | 1124 | |
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| vehicle | 1120 | |
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### Citation |
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