Automatic waste classification using deep learning and computer vision techniques

Automatic waste classification using deep learning and computer vision techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Détails bibliographiques
Auteurs principaux:	Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Autres auteurs:	Karim, Dewan Ziaul
Format:	Thèse
Langue:	English
Publié:	Brac University 2023
Sujets:	Custom CNN Resnet50 VGG16 MobileNetV2 InceptionV3 EfficientNetB0 Pretrained Validation Accuracy Detection Classification YOLOv4 Deep learning YOLOv4-tiny Cognitive learning theory Neural networks (Computer science) Machine learning
Accès en ligne:	http://hdl.handle.net/10361/21220

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