Robust Fish Recognition Using Foundation Models toward Automatic Fish Resource Management

Robust Fish Recognition Using Foundation Models toward Automatic Fish Resource Management

Resource management for fisheries plays a pivotal role in fostering a sustainable fisheries industry. In Japan, resource surveys rely on manual measurements by staff, incurring high costs and limitations on the number of feasible measurements. This study endeavors to revolutionize resource surveys b...

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Bibliographic Details
Main Authors: Tatsuhito Hasegawa, Daichi Nakano
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Marine Science and Engineering
Subjects:
resource survey
foundation models
Grounded-SAM
mask keypoint R-CNN
fish image bank dataset
Online Access:https://www.mdpi.com/2077-1312/12/3/488

Internet

https://www.mdpi.com/2077-1312/12/3/488

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