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.

Détails bibliographiques
Auteurs principaux: Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Autres auteurs: Alam, Md. Ashraful
Format: Thèse
Langue:English
Publié: Brac University 2024
Sujets:
TrashNet
Deep learning
Object detection
Image classification
CNN
VGG16
Inception-Resnet-v2
MobileNet
YOLOv5
YOLOv7
Neural network
Image processing
Waste products.
Image processing.
Accès en ligne:http://hdl.handle.net/10361/22092

Internet

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

Documents similaires