Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Podrobná bibliografie
Hlavní autoři:	Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
Další autoři:	Rodoshi, Ahanaf Hassan
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2024
Témata:	Fish detection CNN model for classification YOLOv4 for detection Artificial Intelligence (AI) VGG-16 DenseNet Xception Artificial intelligence Neural networks (Computer science)
On-line přístup:	http://hdl.handle.net/10361/23055

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