i have used 6 defect types which are common in pipeline defect detection.
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Updated
May 29, 2024 - Python
i have used 6 defect types which are common in pipeline defect detection.
In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).
Process any video file with YOLOv8l to detect all 80 COCO object classes, save annotated output video with bounding boxes, confidence scores, and per-class statistics.
Description: Bi-directional vehicle counting system using YOLOv8l and DeepSort. Tracks cars, trucks, buses and motorcycles crossing a configurable line — counts UP and DOWN separately with live dashboard.
Advanced people tracking system combining YOLOv8l detection with DeepSort multi-object tracking. Assigns unique persistent IDs to each person across video frames.
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