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Multi-Perspective Anomaly Detection
Furthermore, we introduce the dices dataset, which consists of over 2000 grayscale images of falling dices from multiple perspectives, with 5\% of the images containing rare anomalies (e. g., drill holes, sawing, or scratches).
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