Binary Images of Real-World Nuclear Waste Simulants for Visual Object Recognition

Dataset

A Shaukat and Y Gao

University of Surrey

17/11/2020

DOI:

https://doi.org/10.15126/surreydata.00808553

Abstract

Robot vision systems

Object recognition

Automatic optical inspection

Nuclear decommissioning

Industrial automation

Sort-and-segregate

184 Record Views

Title: Binary Images of Real-World Nuclear Waste Simulants for Visual Object Recognition
Creators: A Shaukat
Y Gao (Principal Investigator)
Publisher: University of Surrey
Date published: 17/11/2020
Grant note: Funder: Engineering and Physical Sciences Research Council (EPSRC) | Grant Title: Reconfigurable Autonomy
Identifiers: 99515674102346
Copyright: Acknowledgement required for usage of data set: Surrey Space Centre (STAR Lab), University of Surrey, Guildford, GU2 7XH, U.K.
Academic Unit: University of Surrey
Language: English
Resource Type: Dataset