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.

Detalles Bibliográficos
Autores principales: Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Otros Autores: Karim, Dewan Ziaul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
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
Acceso en línea:http://hdl.handle.net/10361/21220

Internet

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

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