Vision AI Complete Guide

Table of Contents

• Chapter 1
  Introduction to Vision AI
  Explore the fundamentals of computer vision, its history, applications, and the WIA-AI-021 standard framework.
• Chapter 2
  Image Processing Fundamentals
  Master essential image processing techniques including filtering, transformations, color spaces, and edge detection.
• Chapter 3
  CNNs and Vision Transformers
  Deep dive into Convolutional Neural Networks and modern Vision Transformer architectures for image understanding.
• Chapter 4
  Object Detection
  Learn object detection techniques with YOLO, Faster R-CNN, and state-of-the-art detection frameworks.
• Chapter 5
  Image Segmentation
  Implement semantic and instance segmentation using U-Net, DeepLab, and Mask R-CNN architectures.
• Chapter 6
  Video Analysis and Tracking
  Process video streams with temporal analysis, object tracking, and action recognition systems.
• Chapter 7
  3D Vision and Depth Estimation
  Explore stereo vision, depth estimation, 3D reconstruction, and point cloud processing techniques.
• Chapter 8
  Production Deployment
  Deploy vision AI systems at scale with optimization, monitoring, and best practices for production environments.