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.

Bibliographic Details
Main Authors: Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
Other Authors: Rodoshi, Ahanaf Hassan
Format: Thesis
Language:English
Published: Brac University 2024
Subjects:
Fish detection
CNN model for classification
YOLOv4 for detection
Artificial Intelligence (AI)
VGG-16
DenseNet
Xception
Artificial intelligence
Neural networks (Computer science)
Online Access:http://hdl.handle.net/10361/23055

Internet

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

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