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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
Άλλοι συγγραφείς: Rodoshi, Ahanaf Hassan
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2024
Θέματα:
Fish detection
CNN model for classification
YOLOv4 for detection
Artificial Intelligence (AI)
VGG-16
DenseNet
Xception
Artificial intelligence
Neural networks (Computer science)
Διαθέσιμο Online:http://hdl.handle.net/10361/23055

Διαδίκτυο

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

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