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.

Bibliografiska uppgifter
Huvudupphovsmän: Farhan, Rafid, Rahman, Ninad Abdur, Ahsan, Syeda Sara Ummy
Övriga upphovsmän: Rodoshi, Ahanaf Hassan
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Fish detection
CNN model for classification
YOLOv4 for detection
Artificial Intelligence (AI)
VGG-16
DenseNet
Xception
Artificial intelligence
Neural networks (Computer science)
Länkar:http://hdl.handle.net/10361/23055

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