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

Description

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  

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7729764

Tags

  • anomaly-detection
  • deep-learning
  • out-of-distribution-detection
  • robot-vision

Topics

Categories