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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Άλλοι συγγραφείς:	Rhaman, Dr. Md. Khalilur
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2024
Θέματα:	Primary dataset Data analysis Computer vision Object detection algorithm Machine learning YOLOv5. Signal detection.
Διαθέσιμο Online:	http://hdl.handle.net/10361/22061

Παρόμοια τεκμήρια

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