MARLIN@CMFRI: Comprehensive media sharebase for MARine fishery machine Learning Routines of INdian EEZ

Varghese, Eldho and Jayasankar, J and Kuriakose, Somy and Mini, K G and Vase, Vinay Kumar and Nair, Rekha J and Muktha, M and Manu, V K and Manjeesh, R (2024) MARLIN@CMFRI: Comprehensive media sharebase for MARine fishery machine Learning Routines of INdian EEZ. ICAR- Central Marine Fisheries Research Institute, Kochi.

Text MARLIN@CMFRI_2024_FRAEED.pdf Download (4MB)

Abstract

MARLIN@CMFRI is an innovative Android Mobile App developed by Fishery Resources Assessment, Economics & Extension Division (FRAEED) of ICAR-CMFRI under the project Automated System for Marine Fishery Resources Landing Data Collection Via Computer Vision and AI-Driven Deep Learning Algorithms for Species Identification and Quantification from Visual Images as a gateway for comprehensive media sharing, stands at the forefront of revolutionizing marine fishery research and identification/assessment efforts in the Indian Exclusive Economic Zone (EEZ). This cutting-edge App is designed to empower users with a platform for uploading high-quality digital images related to marine fish landings and facilitates the development of a comprehensive database for advanced AI-driven automated marine fishery resources identification system.

Item Type:	Other
Uncontrolled Keywords:	MARLIN@CMFRI
Subjects:	Fish and Fisheries > Fisheries management Marine Fisheries > Fish landing Marine Fisheries > Estimation Marine Fisheries Fish and Fisheries > Fish Taxonomy
Divisions:	CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resources Assessment, Economics and Extension Division
Depositing User:	Arun Surendran
Date Deposited:	11 Mar 2024 08:59
Last Modified:	13 Mar 2024 07:00
URI:	http://eprints.cmfri.org.in/id/eprint/18145

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