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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Άλλοι συγγραφείς:	Karim, Dewan Ziaul
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2023
Θέματα:	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
Διαθέσιμο Online:	http://hdl.handle.net/10361/21220

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