Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge

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Bibliographic Details
Main Author: Jan Jakubik
Format: Article
Language:English
Published: Polish Information Processing Society 2018-09-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_16/drp/pdf/388.pdf
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author Jan Jakubik
author_facet Jan Jakubik
author_sort Jan Jakubik
collection DOAJ
format Article
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institution Kabale University
issn 2300-5963
language English
publishDate 2018-09-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-6faa0136a15e436eae85fb6c265588492025-08-20T03:30:32ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632018-09-0116192210.15439/2018F388Dataset Enhancement in Hair Follicle Detection: ESENSEI ChallengeJan Jakubikhttps://annals-csis.org/Volume_16/drp/pdf/388.pdf
spellingShingle Jan Jakubik
Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge
Annals of computer science and information systems
title Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge
title_full Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge
title_fullStr Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge
title_full_unstemmed Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge
title_short Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge
title_sort dataset enhancement in hair follicle detection esensei challenge
url https://annals-csis.org/Volume_16/drp/pdf/388.pdf
work_keys_str_mv AT janjakubik datasetenhancementinhairfollicledetectionesenseichallenge