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

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...

Full description

Bibliographic Details
Main Authors: Dario Mantegazza, Alind Xhyra, Luca M. Gambardella, Alessandro Giusti, Jérôme Guzzi
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Data in Brief
Subjects:
Out of distribution detection
Intelligent robotics
Deep learning
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923003839

Internet

http://www.sciencedirect.com/science/article/pii/S2352340923003839

Similar Items