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.

Xehetasun bibliografikoak
Egile Nagusiak: Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Beste egile batzuk: Rhaman, Dr. Md. Khalilur
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2024
Gaiak:
Primary dataset
Data analysis
Computer vision
Object detection algorithm
Machine learning
YOLOv5.
Signal detection.
Sarrera elektronikoa:http://hdl.handle.net/10361/22061

Internet

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

Antzeko izenburuak