Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance

dc.contributor.author	Budak, Umit
dc.contributor.author	Sengur, Abdulkadir
dc.contributor.author	Dabak, Asli Basak
dc.contributor.author	Cibuk, Musa
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2019
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10136
dc.description.abstract	The use of traditional machine learning techniques in the classification tasks of image-based automatic object species requires primarily extracting the feature set. This requires deciding which set of features to use, and is a toilsome process. In this p
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	International Conference on Artificial Intelligence and Data Processing (IDAP)
dc.source	2019 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap 2019)
dc.title	Transfer Learning Based Object Detection and Effect of Majority Voting on Classification Performance
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000591781100050

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