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.

Bibliografski detalji
Glavni autori:	Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Daljnji autori:	Rhaman, Dr. Md. Khalilur
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Primary dataset Data analysis Computer vision Object detection algorithm Machine learning YOLOv5. Signal detection.
Online pristup:	http://hdl.handle.net/10361/22061

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