Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Detalles Bibliográficos
Main Authors: Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Outros autores: Rhaman, Dr. Md. Khalilur
Formato: Thesis
Idioma:English
Publicado: Brac University 2024
Subjects:
Primary dataset
Data analysis
Computer vision
Object detection algorithm
Machine learning
YOLOv5.
Signal detection.
Acceso en liña:http://hdl.handle.net/10361/22061

Internet

http://hdl.handle.net/10361/22061

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