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Soichiro Ueno

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

49

TOTAL CITATIONS

0

Scholarly Papers (1)

1.

In-Situ Verification of a Deep-Learning-Based Larval Identification System for the Pacific Oyster Magallana Gigas

Number of pages: 31 Posted: 21 Dec 2023
Japan Fisheries Research and Education Agency, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 49 (1,074,648)

Abstract:

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Pacific oyster, larval identification, object detection, deep learning, identification accuracy, Matsushima Bay