Domain-independent anomalies datasets
Domain-independent anomalies datasets (adaptions of the MVTec Anomaly Detection dataset)
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An adaption of the MVTec Anomaly Detection dataset, presented in the paper "Domain-independent detection of known anomalies". There are three different datasets, each covering one specific anomaly type: _color_, _cut_ and _hole_. The datasets can be used to evaluate approaches on the hybrid task of detecting known anomalies across different, previously unseen objects: All object types except one are used for training. During testing, the images of the remaining object type should be classified on whether they contain an anomaly. _Note: the authors are not affiliated with MVTec_
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