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.

書誌詳細
主要な著者:	Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
その他の著者:	Rodoshi, Ahanaf Hassan
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	Fish detection CNN model for classification YOLOv4 for detection Artificial Intelligence (AI) VGG-16 DenseNet Xception Artificial intelligence Neural networks (Computer science)
オンライン･アクセス:	http://hdl.handle.net/10361/23055

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