Hazards&Robots: A dataset for visual anomaly detection in robotics

We propose Hazards&Robots, a dataset for Visual Anomaly Detection in Robotics. The dataset is composed of 324,408 RGB frames, and corresponding feature vectors; it contains 145,470 normal frames and 178,938 anomalous ones categorized in 20 different anomaly classes. The dataset can be used to tr...

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Detalles Bibliográficos
Autores principales: Mantegazza, Dario, Xhyra, Alind, Gambardella, Luca M., Giusti, Alessandro, Guzzi, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294035/
https://www.ncbi.nlm.nih.gov/pubmed/37383812
http://dx.doi.org/10.1016/j.dib.2023.109264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10294035/
https://www.ncbi.nlm.nih.gov/pubmed/37383812
http://dx.doi.org/10.1016/j.dib.2023.109264

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