Computer Vision Course Index – Dataplexa

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Computer Vision Course Index

Complete Computer Vision roadmap — image processing, OpenCV, CNNs, classification, segmentation, object detection, YOLO, Mask R-CNN, OCR, and real-time AI applications.

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I. Computer Vision Foundations (12 Lessons)

1. Intro to CV 2. Human vs CV 3. Pixels & Images 4. Image Representation 5. Transformations 6. Color Spaces 7. Histograms 8. Thresholding 9. Blurring 10. Edge Detection 11. Contours 12. Morph Operations

II. OpenCV & Image Processing (13 Lessons)

13. OpenCV Intro 14. Image Manipulation 15. Kernels & Filters 16. Erosion & Dilation 17. Canny Edge 18. Hough Transform 19. Object Detection 20. Haar Cascades 21. Segmentation 22. GrabCut 23. Background Subtraction 24. Template Matching 25. SIFT / SURF / ORB

III. Deep Learning for Computer Vision (13 Lessons)

26. CNNs Intro 27. Convolutions 28. Pooling 29. Feature Maps 30. CNN Architectures 31. Transfer Learning 32. Fine-Tuning 33. Image Classification 34. Augmentation 35. Build CNN 36. ImageNet 37. CAM & Grad-CAM 38. Improving Accuracy

IV. Advanced Computer Vision (12 Lessons)

39. Detection Models 40. YOLO Basics 41. YOLOv5 / YOLOv8 42. Semantic Segmentation 43. U-Net 44. Instance Segmentation 45. Mask R-CNN 46. OCR 47. Face Recognition 48. Pose Estimation 49. Real-Time CV 50. Applications