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.

Bibliografiska uppgifter
Huvudupphovsmän: Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Övriga upphovsmän: Karim, Dewan Ziaul
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2023
Ämnen:
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
Länkar:http://hdl.handle.net/10361/21220

Internet

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

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