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This is the final version of our dataset; we further expand the Corridor scenario. This new version of Corridor includes 20 anomalies and the total frames are 324,408. In this version, we release feature embeddings extracted using a CLIP ViT-B/32 model. This dataset is part of a Data in Brief paper submission. For more information check https://github.com/idsia-robotics/hazard-detection
V3.1 of the Corridor scenario is released as the revised principal material for a Data in Brief paper
Deep Learning, Anomaly Detection, Robot Vision, Out of Distribution Detection
Deep Learning, Anomaly Detection, Robot Vision, Out of Distribution Detection
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