MPDD
Metal Parts Defect Detection Dataset
홈페이지 · 논문 44편
MPDD is a dataset aimed at benchmarking visual defect detection methods in industrial metal parts manufacturing. It consists of more than 1000 images with pixel-precise defect annotation masks. The dataset is divided into the training subset with anomaly-free samples and the validation subset that contains both normal and anomalous samples. The dataset can be downloaded at the following link.
벤치마크
Anomaly Detection on MPDD
결과 16개