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
Autores principales: Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Otros Autores: Rhaman, Dr. Md. Khalilur
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Primary dataset
Data analysis
Computer vision
Object detection algorithm
Machine learning
YOLOv5.
Signal detection.
Acceso en línea:http://hdl.handle.net/10361/22061

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