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

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

本数据集为最终正式版本，我们对走廊（Corridor）场景进行了进一步拓展。该新版走廊场景包含20类异常样本，总帧数达324,408帧。本版本中，我们发布了使用CLIP ViT-B/32模型提取得到的特征嵌入（feature embeddings）。本数据集隶属于一篇《数据简报（Data in Brief）》期刊的投稿论文。如需获取更多详细信息，请访问：https://github.com/idsia-robotics/hazard-detection