Fishery Detection and Counting Model uing Fish Images

Fishery Detection and Counting Model uing Fish Images | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Fishery Detection and Counting Model uing Fish Images Marc Momar TALL, Ibrahima NGOM, Ousmane SADIO, Ibrahima DIAGNE, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3835316/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Fishing in Senegal is threatened by overfishing, compounded by a lack of fisheries management. Stock replenishment and fish classification are generally done manually, and catches are not always declared. In addition, the collection of fishing data suffers from a lack of tools for monitoring and counting the fish caught at the wharves. Although researchers have carried out studies on the fishery in Senegal, data collection is virtually non-existent, and there is no local database dedicated to the fishery or automatic detection and counting algorithm. In this article, a model for automatic detection and counting of fished species is proposed, using a semantic segmentation algorithm. The data used to form the adapted local database are collected from fish images taken at the Soumbédioune fishing wharf in Senegal. This database is supplemented by the Fishbase. This collected data is then segmented to form the appropriate local database. This database is used in conjunction with YOLO v8, an essential element in the detection of images with bounding boxes, to train the model. The results obtained are very promising for the proposed automatic fish detection and counting model. For example, the recall-confidence scores reflect the performance of bounding boxes, with scores ranging from 0.01 to 0.75, thus confirming the effectiveness of the model with bounding boxes. These results are of great importance for improving fisheries policies in Senegal. Biological sciences/Systems biology Earth and environmental sciences/Environmental social sciences Physical sciences/Mathematics and computing Fish Segmentation Fishbase YOLO v8 Bounding boxes Detection Mask Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3835316","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":269570234,"identity":"4dc965ca-c034-41fd-8386-158ed9738891","order_by":0,"name":"Marc Momar TALL","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA20lEQVRIiWNgGAWjYNCDBwU2JKlnZmBIMEgjXcthwup0288+/HSjYpu8eQP/wQ8JBufl5Gc3MH8uwKPF7Ey6sXTOmduGcw4wM0skGNw2NrhzgE16Bj4tB9LYmHPbbjPOADoMpCVxg0QCGzMPPi3nn4G12AO1MP9IMDhXP39GAvNnvFpuQGxJBGphA9pyIIHhRgKDNH4tz5hBfkmewcxsZpFgkGy44c7BNvxazqcxfs6puG07g73x8Y0PFXby8rObD+N1GAIwwxgSjA1EaUACEqRqGAWjYBSMguEOADQ5SFJyw+SFAAAAAElFTkSuQmCC","orcid":"","institution":"Polytechnic Higher School, Cheikh Anta Diop University Dakar","correspondingAuthor":true,"prefix":"","firstName":"Marc","middleName":"Momar","lastName":"TALL","suffix":""},{"id":269570235,"identity":"0202a5da-9883-4f2c-a057-77e7522b9a08","order_by":1,"name":"Ibrahima NGOM","email":"","orcid":"","institution":"Polytechnic Higher School, Cheikh Anta Diop University Dakar","correspondingAuthor":false,"prefix":"","firstName":"Ibrahima","middleName":"","lastName":"NGOM","suffix":""},{"id":269570236,"identity":"bcc96368-6a55-4b2d-bb73-192a7474638d","order_by":2,"name":"Ousmane SADIO","email":"","orcid":"","institution":"Polytechnic Higher School, Cheikh Anta Diop University Dakar","correspondingAuthor":false,"prefix":"","firstName":"Ousmane","middleName":"","lastName":"SADIO","suffix":""},{"id":269570237,"identity":"6b839539-106d-4c2d-a61f-59bb4e5636c9","order_by":3,"name":"Ibrahima DIAGNE","email":"","orcid":"","institution":"Polytechnic Higher School, Cheikh Anta Diop University Dakar","correspondingAuthor":false,"prefix":"","firstName":"Ibrahima","middleName":"","lastName":"DIAGNE","suffix":""},{"id":269570238,"identity":"bfa6d9ea-4ea7-45fb-9e49-1fc3a0c46c4f","order_by":4,"name":"Adama COULYBALI","email":"","orcid":"","institution":"Polytechnic Higher School, Cheikh Anta Diop University Dakar","correspondingAuthor":false,"prefix":"","firstName":"Adama","middleName":"","lastName":"COULYBALI","suffix":""},{"id":269570239,"identity":"fb190841-ce19-40f3-b333-0a0f618479ef","order_by":5,"name":"Moustapha NDIAYE","email":"","orcid":"","institution":"Polytechnic Higher School, Cheikh Anta Diop University Dakar","correspondingAuthor":false,"prefix":"","firstName":"Moustapha","middleName":"","lastName":"NDIAYE","suffix":""}],"badges":[],"createdAt":"2024-01-04 20:29:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3835316/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3835316/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":60131391,"identity":"8b84d72c-6062-409a-89fa-29038773cf45","added_by":"auto","created_at":"2024-07-12 07:10:06","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":653479,"visible":true,"origin":"","legend":"","description":"","filename":"JournalManuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3835316/v1_covered_98ccc6a6-8c80-4a75-8238-e537a43a69f4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Fishery Detection and Counting Model uing Fish Images","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Fish , Segmentation , Fishbase , YOLO v8 , Bounding boxes , Detection , Mask","lastPublishedDoi":"10.21203/rs.3.rs-3835316/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3835316/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Fishing in Senegal is threatened by overfishing, compounded by a lack of fisheries management. 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