Ensemble Convolutional Neural Networks With Knowledge Transfer for Leather Defect Classification in Industrial Settings

Ensemble Convolutional Neural Networks With Knowledge Transfer for Leather Defect Classification in Industrial Settings

Leather defect analysis is important for leather quality grading which directly effects the leather exports. Automated leather sample classification is vital due to slow and subjective nature of the manual process. The major challenges that exist in visual inspection of leather samples for categoriz...

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Bibliographic Details
Main Authors: Masood Aslam, Tariq M. Khan, Syed Saud Naqvi, Geoff Holmes, Rafea Naffa
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Leather defects
visual inspection
convolutional neural networks
transfer learning
classification
Online Access:https://ieeexplore.ieee.org/document/9243935/

Internet

https://ieeexplore.ieee.org/document/9243935/

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