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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/56707
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dc.contributor.authorShojaeipour, Alien
dc.contributor.authorFalzon, Gregoryen
dc.contributor.authorHadavi, Nooshinen
dc.contributor.authorCowley, Francesen
dc.date.accessioned2023-11-23T22:44:49Z-
dc.date.available2023-11-23T22:44:49Z-
dc.date.issued2021-06-06-
dc.identifier.urihttps://hdl.handle.net/1959.11/56707-
dc.description.abstractThe dataset consists of 300 images of cattle faces. Each folder in the dataset represents individual cattle and the folder name correlates with the Cattle ID document for identification purposes.en
dc.format.extent.docx, .jpg, .cfgen
dc.languageenen
dc.publisherUniversity of New Englanden
dc.relation.urihttps://hdl.handle.net/1959.11/56706en
dc.titleBiometric Identification of Cattle via Muzzle Print Patterns and Deep Learning in a Few-Shot Learning Contexten
dc.typeDataseten
dc.identifier.doi10.25952/tsjx-5x70en
dcterms.accessRightsMediateden
dcterms.rightsHolderAli Shojaeipouren
dc.subject.keywordsBiometric Identificationen
dc.subject.keywordsCattle identificationen
dc.subject.keywordsFew-Shot Learningen
dc.subject.keywordsLivestock welfareen
dc.subject.keywordsMuzzle detectionen
local.contributor.firstnameAlien
local.contributor.firstnameGregoryen
local.contributor.firstnameNooshinen
local.contributor.firstnameFrancesen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailali.shojaeipour@gmail.comen
local.profile.emailgfalzon2@une.edu.auen
local.profile.emailnhadavi@une.edu.auen
local.profile.emailfcowley@une.edu.auen
local.output.categoryXen
local.access.restrictedto2022-12-31-
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australiaen
local.contributor.lastnameShojaeipouren
local.contributor.lastnameFalzonen
local.contributor.lastnameHadavien
local.contributor.lastnameCowleyen
dc.identifier.staffune-id:gfalzon2en
dc.identifier.staffune-id:nhadavien
dc.identifier.staffune-id:fcowleyen
local.profile.orcid0000-0002-1989-9357en
local.profile.orcid0000-0002-6475-1503en
local.profile.rolecreatoren
local.profile.rolesupervisoren
local.profile.roleproject team memberen
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/56707en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleBiometric Identification of Cattle via Muzzle Print Patterns and Deep Learning in a Few-Shot Learning Contexten
local.output.categorydescriptionX Dataseten
local.search.authorShojaeipour, Alien
local.search.supervisorFalzon, Gregoryen
local.search.supervisorCowley, Francesen
dcterms.rightsHolder.managedbyAli Shojaeipouren
local.datasetcontact.nameAli Shojaeipouren
local.datasetcontact.emailali.shojaeipour@gmail.comen
local.datasetcustodian.nameAli Shojaeipouren
local.datasetcustodian.emailali.shojaeipour@gmail.comen
local.datasetcontact.detailsAli Shojaeipour - ali.shojaeipour@gmail.comen
local.datasetcustodian.detailsAli Shojaeipour - ali.shojaeipour@gmail.comen
dcterms.ispartof.projectBiometric Identification of Cattle via Muzzle Print Patterns and Deep Learning in a Few-Shot Learning Contexten
dcterms.source.datasetlocationUniversity of New Englanden
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2021en
local.subject.for2020461103 Deep learningen
local.subject.for2020300306 Animal welfareen
local.subject.for2020461199 Machine learning not elsewhere classifieden
local.subject.seo2020220403 Artificial intelligenceen
local.subject.seo2020109902 Animal welfareen
local.subject.seo2020100401 Beef cattleen
dc.coverage.placeTullimba and Torryburn, New South Wales, Australiaen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
Appears in Collections:Dataset
School of Environmental and Rural Science
School of Science and Technology
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