Hazards&Robots: A Dataset for Visual Anomaly Detection in Robotics
收藏Zenodo2023-04-25 更新2026-05-26 收录
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https://zenodo.org/record/7859211
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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
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Zenodo创建时间：
2023-04-24
