Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection
dc.contributor.advisor | Aditya Gupta | |
dc.contributor.author | Hubena, Yeronis Assefa | |
dc.contributor.author | Abdullahi, Mohammed | |
dc.date.accessioned | 2024-01-31T17:23:17Z | |
dc.date.available | 2024-01-31T17:23:17Z | |
dc.date.issued | 2024 | |
dc.identifier | no.uia:inspera:175272601:34446490 | |
dc.identifier.uri | https://hdl.handle.net/11250/3114923 | |
dc.description.abstract | This project aims to deliver an AI based solution to find out irregularities and deformities in farmed salmon fish by using Keypoint detection | |
dc.description.abstract | ||
dc.language | ||
dc.publisher | University of Agder | |
dc.title | Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection | |
dc.type | Master thesis |
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Master's theses in Information and Communication Technology [491]
MM500, IKT590, IKT591