Fig 1: Representative sample images from the Fabrics Dataset.
The Fabrics Dataset consists of about 2000 samples of garments and fabrics. A small patch of each surface has been captured under 4 different illumination conditions using a custom made, portable photometric stereo sensor. All images have been acquired "in the field" (at clothes shops) and the dataset reflects the distribution of fabrics in real world, hence it is not balanced. The majority of clothes are made of specific fabrics, such as cotton and polyester, while some other fabrics, such as silk and linen, are more rare. Also, a large number of clothes are not composed of a single fabric but two or more fabrics are used to give the garment the desired properties (blended fabrics). For every garment we kept information (attributes) about its material composition from the manufacturer label and its type (pants, shirt, skirt etc.).
The dataset can be downloaded from the link below:
Please note that the database is simply split into 4 smaller parts for easier download. In order to create the database you have to unzip part1 (i.e., fabrics.zip.001) using a file archiver (e.g., 7zip).
The Fabrics database is provided for research purposes ONLY (NO commercial products).
If you use this dataset, please cite the following paper:
For any questions, please email Christos Kampouris (email@example.com).