A Study Comparing YOLOv8 and Detector2 for Object Segmentation Defect Identification
Dr. Ameera Al-Karkhi
Sheridan College/ Faculty of Applied Science and Technology
Within the field of computer vision and image processing, object segmentation defect detection is crucial for a number of industries, such as manufacturing, healthcare, and autonomous systems. Accurately quickly detecting defects is critical for ensuring the …