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

Διαδίκτυο

http://hdl.handle.net/10361/21220

Παρόμοια τεκμήρια