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.

Xehetasun bibliografikoak
Egile Nagusiak: Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Beste egile batzuk: Alam, Md. Ashraful
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2024
Gaiak:
TrashNet
Deep learning
Object detection
Image classification
CNN
VGG16
Inception-Resnet-v2
MobileNet
YOLOv5
YOLOv7
Neural network
Image processing
Waste products.
Image processing.
Sarrera elektronikoa:http://hdl.handle.net/10361/22092

Internet

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

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