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.

Dades bibliogràfiques
Autors principals:	Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Altres autors:	Karim, Dewan Ziaul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2023
Matèries:	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
Accés en línia:	http://hdl.handle.net/10361/21220

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