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.

Bibliographic Details
Main Authors: Sanjana, Jasia, Al Muhit, Abdullah, Zia, Asma
Other Authors: Rhaman, Dr. Md. Khalilur
Format: Thesis
Language:English
Published: Brac University 2024
Subjects:
Primary dataset
Data analysis
Computer vision
Object detection algorithm
Machine learning
YOLOv5.
Signal detection.
Online Access:http://hdl.handle.net/10361/22061

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