Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification

Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiska uppgifter
Huvudupphovsmän:	Labiba, Zaima, Heram, Afrin A, Hossain, Md.Muhtasim, Alam, Sharia, Shakal, Binita Khan
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	Mango leaf classification Mango variations Convolutional neural network Vision transformer Data mining Neural networks (Computer science)
Länkar:	http://hdl.handle.net/10361/23586

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