InceptGI: a ConvNet-Based Classification Model for Identifying Goat Breeds in India

In this paper, an attempt has been made to develop a model to decide with precision the breed identity of individual goat by using its image. For image-based multi-class classification tasks, CNNs have been found to be the best tool. But selecting the most efficient CNN model for a particular classi...

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Veröffentlicht in:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2020-10, Vol.101 (5), p.573-584
Hauptverfasser:	Mandal, Satyendra Nath, Ghosh, Pritam, Mukherjee, Kaushik, Dan, Sanket, Mustafi, Subhranil, Roy, Kunal, Hajra, Dilip Kumar, Banik, Santanu
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Classification Communications Engineering Digital imaging Engineering Goats Image classification Learning Networks Original Contribution Performance evaluation
Online-Zugang:	Volltext
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