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.

Xehetasun bibliografikoak
Egile Nagusiak:	Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
Beste egile batzuk:	Rodoshi, Ahanaf Hassan
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	Fish detection CNN model for classification YOLOv4 for detection Artificial Intelligence (AI) VGG-16 DenseNet Xception Artificial intelligence Neural networks (Computer science)
Sarrera elektronikoa:	http://hdl.handle.net/10361/23055

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