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Modern Computer Vision: Detection & Tracking Foundations
The working map of modern CV: classification vs detection vs segmentation, how detectors actually work, tracking across frames, and the metrics (IoU, mAP) that decide if a model is any good.
3 sections·7 lessons
What you'll learn
1. The CV Task Map
- Five tasks, one decision tree
- Check: task selection
2. How Detectors Work (and Their Metrics)
- From YOLO's idea to mAP
- Video: YOLO object tracking, beginner-friendly setup
- Check: detectors & metrics
3. Data: Where CV Projects Live or Die
- Datasets, labeling and the augmentation lever
- Final check: data
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