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.

Bibliografiska uppgifter
Huvudupphovsmän: Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Övriga upphovsmän: Rhaman, Dr. Md. Khalilur
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Primary dataset
Data analysis
Computer vision
Object detection algorithm
Machine learning
YOLOv5.
Signal detection.
Länkar:http://hdl.handle.net/10361/22061

Internet

http://hdl.handle.net/10361/22061

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