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.

Detaylı Bibliyografya
Asıl Yazarlar: Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Diğer Yazarlar: Alam, Md. Ashraful
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2024
Konular:
TrashNet
Deep learning
Object detection
Image classification
CNN
VGG16
Inception-Resnet-v2
MobileNet
YOLOv5
YOLOv7
Neural network
Image processing
Waste products.
Image processing.
Online Erişim:http://hdl.handle.net/10361/22092

Internet

http://hdl.handle.net/10361/22092

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