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.

Bibliographische Detailangaben
Hauptverfasser:	Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Weitere Verfasser:	Rhaman, Dr. Md. Khalilur
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Primary dataset Data analysis Computer vision Object detection algorithm Machine learning YOLOv5. Signal detection.
Online Zugang:	http://hdl.handle.net/10361/22061

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