Deep learning framework for bovine iris segmentation
Iris segmentation is an initial step for identifying the biometrics of animals when establishing a traceability system for livestock. In this study, we propose a deep learning framework for pixel-wise segmentation of bovine iris with a minimized use of annotation labels utilizing the BovineAAEyes80...
Main Authors: | Heemoon Yoon, Mira Park, Hayoung Lee, Jisoon An, Taehyun Lee, Sang-Hee Lee |
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Format: | Article |
Language: | English |
Published: |
Korean Society of Animal Sciences and Technology
2024-01-01
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Series: | Journal of Animal Science and Technology |
Subjects: | |
Online Access: | http://www.ejast.org/archive/view_article?doi=10.5187/jast.2023.e51 |
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