Research on Image Recognition of Nantong Shen Embroidery Intangible Cultural Heritage Based on Improved Mobile Net V3

Research on Image Recognition of Nantong Shen Embroidery Intangible Cultural Heritage Based on Improved Mobile Net V3 | 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 Research Article Research on Image Recognition of Nantong Shen Embroidery Intangible Cultural Heritage Based on Improved Mobile Net V3 Zhu Changyong, Bai Xue, Zhu Jiajun, Huang Wenjuan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5300929/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 [Research Objective] This study presents a method for recognizing Shen embroidery images based on the MobileNet V3 model, with the aim of enhancing recognition accuracy and supporting the preservation of national intangible cultural heritage. [Method] A lightweight deep learning network was employed for image recognition, augmented through data enhancement techniques and fine-tuned via transfer learning. An SPP (Spatial Pyramid Pooling) module was integrated into the network, resulting in the development of the Ip-MobileNet V3 model. This model was applied to recognize Nantong Shen embroidery images, accompanied by the creation of a corresponding software system. [Conclusion] The Ip-MobileNet V3 model achieved an impressive recognition accuracy of 98.65%, surpassing MobileNet V3 by 2.6%. These results demonstrate high system performance and provide valuable technical support for intelligent identification of intangible cultural heritage. intangible cultural heritage Nantong Shenyang Embroidery MobileNet V3 identification system 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-5300929","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":370737885,"identity":"807fe009-5274-4542-a00b-9eeb7b33c848","order_by":0,"name":"Zhu Changyong","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Zhu","middleName":"","lastName":"Changyong","suffix":""},{"id":370737886,"identity":"e6d7151c-1f88-4304-84a4-8899ab2f597d","order_by":1,"name":"Bai Xue","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEklEQVRIiWNgGAWjYDACCQYGZjjnA8MBBvYGIIOHWC2MM4BaeA6QooWZhxgt8rN7DD8X1Nyx23C89/Br2x13EnvYGxgfvG1jkDfHoYVxzhlj6RnHniVvOHMuzTr3zLPEHp4DzIZz2xgMdzZg18IskWPGzMN2ONngRo6ZcW7b4cT9Egls0rxtDAkGB7BrYQNr+QfVYgnU0iP/gP03Pi08IC28bYftgFqMHzOCtEgwsDHj0yIhkVYszdt3OEHyzBkzxt62Z8Y9PInNknPOSRhuwKFFfkbyxs883w7b8x3vMf7ws+2ObA/74YMf3pTZyOOyBQYSFxwA+gvCZmxgAMcXAWAv38DA/IGgslEwCkbBKBiRAADtll81YVEElAAAAABJRU5ErkJggg==","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Bai","middleName":"","lastName":"Xue","suffix":""},{"id":370737887,"identity":"d5b4b066-a2f3-4b19-85db-d5ecfd11106e","order_by":2,"name":"Zhu Jiajun","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Zhu","middleName":"","lastName":"Jiajun","suffix":""},{"id":370737888,"identity":"9eeb7b9d-613d-4389-8593-19b3c97cc121","order_by":3,"name":"Huang Wenjuan","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Huang","middleName":"","lastName":"Wenjuan","suffix":""}],"badges":[],"createdAt":"2024-10-21 03:53:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5300929/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5300929/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":68672006,"identity":"df67f519-f54a-44a0-802e-67e77ae50d08","added_by":"auto","created_at":"2024-11-11 01:08:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1488787,"visible":true,"origin":"","legend":"","description":"","filename":"20241125ResearchonImageRecognitionofNantongShenEmbroideryIntangibleCulturalHeritageBasedonImprovedMobileNetV3.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5300929/v1_covered_1893f073-00c5-48fd-8635-4084887f8254.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Image Recognition of Nantong Shen Embroidery Intangible Cultural Heritage Based on Improved Mobile Net V3","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":"intangible cultural heritage, Nantong Shenyang Embroidery, MobileNet V3, identification system","lastPublishedDoi":"10.21203/rs.3.rs-5300929/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5300929/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e[Research Objective] This study presents a method for recognizing Shen embroidery images based on the MobileNet V3 model, with the aim of enhancing recognition accuracy and supporting the preservation of national intangible cultural heritage.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e[Method] A lightweight deep learning network was employed for image recognition, augmented through data enhancement techniques and fine-tuned via transfer learning. An SPP (Spatial Pyramid Pooling) module was integrated into the network, resulting in the development of the Ip-MobileNet V3 model. This model was applied to recognize Nantong Shen embroidery images, accompanied by the creation of a corresponding software system.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e[Conclusion] The Ip-MobileNet V3 model achieved an impressive recognition accuracy of 98.65%, surpassing MobileNet V3 by 2.6%. 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