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Hazards&Robots: A Dataset for Visual Anomaly Detection in Robotics

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/5520932
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资源简介:
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
创建时间:
2023-04-26
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