The textile fabric database consists of 245 images of 7 different fabrics. There are 140 defect-free images, 20 for each type of fabric. With different types of defects, there are 105 images.
Images have a size of 4096×256 pixels. Defective images have been denominated as follows: nnnn_ddd_ff.png, where nnnn is the image number, ddd is the defect code, and ff is the fabric code.
There is a mask of defect, denominated as: nnnn_ddd_ff_mask.png, where white pixels represent the defect area of the defective image.
Defect free images have been denominated as follows:
nnnn_000_ff.png, where defect code has been replaced by 0000 code.
Defect Codes used in the database:
Defect free images 15 and 08 of fabrics types 00 and 03 (only an area of 256×256 is shown)
Defect 19 on fabric 02 and its mask (only an area of 256×256 is shown)
Links: (this links will be available after the publication of paper)
Please, if you use this images and the rest of information in your research, we kindly ask that you reference our paper:
AFID: a public fabric image database for defect detection.
Javier Silvestre-Blanes, Teresa Albero-Albero, Ignacio Miralles, Rubén Pérez-Llorens, Jorge Moreno
AUTEX Research Journal, No. 4, 2019