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.
