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.

Bibliographische Detailangaben
Hauptverfasser: Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2024
Schlagworte:
TrashNet
Deep learning
Object detection
Image classification
CNN
VGG16
Inception-Resnet-v2
MobileNet
YOLOv5
YOLOv7
Neural network
Image processing
Waste products.
Image processing.
Online Zugang:http://hdl.handle.net/10361/22092

Online

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

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