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.

Dettagli Bibliografici
Autori principali: Akash, MD., Shama, Umme Sabiha, Dibash, Dey, Ghosh, Ria
Altri autori: Karim, Dewan Ziaul
Natura: Tesi
Lingua:English
Pubblicazione: Brac University 2023
Soggetti:
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
Accesso online:http://hdl.handle.net/10361/21220

Accesso online

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

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