Computer Vision Course Index — Dataplexa
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Computer Vision

Computer Vision
Course Index

50 Lessons · 4 Levels

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

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50Lessons
4Levels
3Projects
FreeAccess
Level I Computer Vision Foundations Lessons 1–12
Lesson 01
Intro to CV
Lesson 02
Human vs CV
Lesson 03
Pixels & Images
Lesson 04
Image Representation
Lesson 05
Transformations
Lesson 06
Color Spaces
Lesson 07
Histograms
Lesson 08
Thresholding
Lesson 09
Blurring
Lesson 10
Edge Detection
Lesson 11
Contours
Lesson 12
Morph Operations
Level II OpenCV & Image Processing Lessons 13–25
Lesson 13
OpenCV Intro
Lesson 14
Image Manipulation
Lesson 15
Kernels & Filters
Lesson 16
Erosion & Dilation
Lesson 17
Canny Edge
Lesson 18
Hough Transform
Lesson 19
Object Detection
Lesson 20
Haar Cascades
Lesson 21
Segmentation
Lesson 22
GrabCut
Lesson 23
Background Subtraction
Lesson 24
Template Matching
Lesson 25
SIFT / SURF / ORB
Level III Deep Learning for Computer Vision Lessons 26–38
Lesson 26
CNNs Intro
Lesson 27
Convolutions
Lesson 28
Pooling
Lesson 29
Feature Maps
Lesson 30
CNN Architectures
Lesson 31
Transfer Learning
Lesson 32
Fine-Tuning
Lesson 33
Image Classification
Lesson 34
Augmentation
Lesson 35
Build CNN
Lesson 36
ImageNet
Lesson 37
CAM & Grad-CAM
Lesson 38
Improving Accuracy
Level IV Advanced Computer Vision Lessons 39–50
Lesson 39
Detection Models
Lesson 40
YOLO Basics
Lesson 41
YOLOv5 / YOLOv8
Lesson 42
Semantic Segmentation
Lesson 43
U-Net
Lesson 44
Instance Segmentation
Lesson 45
Mask R-CNN
Lesson 46
OCR
Lesson 47
Face Recognition
Lesson 48
Pose Estimation
Lesson 49
Real-Time CV
Lesson 50
Applications
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Computer Vision Course Index
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