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.
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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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