amazon/kaputt

Kaputt: A Large-Scale Dataset for Visual Defect Detection Abstract We present a novel large-scale dataset for defect detection in a logistics setting. Recent work on industrial anomaly detection has primarily focused on manufacturing scenarios with highly controlled poses and a limited number of object categories. Existing benchmarks like MVTec-AD (Bergmann et al., 2021) and VisA (Zou et al., 2022) have reached saturation, with state-of-the-art methods achieving… See the full description on the dataset page: https://huggingface.co/datasets/amazon/kaputt.