An efficient approach for recyclable waste detection and classification using image processing techniques

An efficient approach for recyclable waste detection and classification using image processing techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Opis bibliograficzny
Główni autorzy:	Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Kolejni autorzy:	Alam, Md. Ashraful
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	TrashNet Deep learning Object detection Image classification CNN VGG16 Inception-Resnet-v2 MobileNet YOLOv5 YOLOv7 Neural network Image processing Waste products. Image processing.
Dostęp online:	http://hdl.handle.net/10361/22092

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