Impact of the State-of-the-Art Methods on Camera Trap Image Classification

dc.contributor.author	Vyskočil, Jiří
dc.contributor.editor	Rendl, Jan
dc.date.accessioned	2024-06-14T16:38:57Z
dc.date.available	2024-06-14T16:38:57Z
dc.date.issued	2024
dc.description.sponsorship	The work has been supported by the grant of the University of West Bohemia, project No. SGS-2022-017. Computational resources were provided by the e-INFRA CZ project (ID:90140), supported by the Ministry of Education, Youth and Sports of the Czechia.	en
dc.format	2 s.	cs
dc.format.mimetype	application/pdf
dc.identifier.citation	RENDL, Jan (ed.). Studentská vědecká konference: magisterské a doktorské studijní programy, 23.5. 2024, Plzeň. Plzeň: Západočeská univerzita v Plzni, 2024, s. 71-72.	cs
dc.identifier.isbn	978-80-261-1228-0
dc.identifier.uri	http://hdl.handle.net/11025/55631
dc.language.iso	en	en
dc.publisher	Západočeská univerzita v Plzni	cs
dc.rights	© Západočeská univerzita v Plzni	cs
dc.rights.access	openAccess	en
dc.subject	fotopast	cs
dc.subject	nejmodernější metody	cs
dc.subject	BLIP	cs
dc.subject	ChatGPT	cs
dc.subject.translated	camera trap	en
dc.subject.translated	State-of-the-Art Methods	en
dc.subject.translated	BLIP	en
dc.subject.translated	ChatGPT	en
dc.title	Impact of the State-of-the-Art Methods on Camera Trap Image Classification	en
dc.type	konferenční příspěvek	cs
dc.type	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en

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