Industrial Textile Defect Detection
The Industrial Textile Defect Detection (ITDD) dataset includes 1885 industrial textile images categorized into 4 categories: cotton fabric, dyed fabric, hemp fabric, and plaid fabric. These classes are collected from the industrial production sites of WEIQIAO Textile. ITDD is an upgraded version of WFDD that reorganizes three original classes and adds one new class.
Variants: ITDD
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Anomaly Detection | CRAS | Center-aware Residual Anomaly Synthesis for … | 2025-05-23 |
Recent papers with results on this dataset: