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

Internet

http://hdl.handle.net/10361/23055

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