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.

Bibliografiska uppgifter
Huvudupphovsmän: Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
TrashNet
Deep learning
Object detection
Image classification
CNN
VGG16
Inception-Resnet-v2
MobileNet
YOLOv5
YOLOv7
Neural network
Image processing
Waste products.
Image processing.
Länkar:http://hdl.handle.net/10361/22092

Internet

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

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