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.

Dettagli Bibliografici
Autori principali:	Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Altri autori:	Rhaman, Dr. Md. Khalilur
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Primary dataset Data analysis Computer vision Object detection algorithm Machine learning YOLOv5. Signal detection.
Accesso online:	http://hdl.handle.net/10361/22061

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