AI & Machine Learning · Level 2

Computer Vision Essentials

By SRTR Academy Faculty

4 modules · 16 lessons · 8 videos · 14 hrs

Image processing, OpenCV, object detection (YOLO), face recognition, video analysis

What you will learn

Module 1: Image Processing Fundamentals
- 🎬 Digital image representation — free preview
- 📄 Color spaces and transformations
- 🎬 Filtering, blurring, and edge detection
- 📄 Histograms and thresholding
Module 2: OpenCV in Practice
- 🎬 OpenCV setup and core operations — free preview
- 📄 Geometric transformations and warping
- 🎬 Contour detection and shape analysis
- 📄 Template matching and feature detection
Module 3: Object Detection
- 🎬 Sliding window and region proposals — free preview
- 📄 YOLO architecture and real-time detection
- 🎬 SSD and Faster R-CNN comparison
- 📄 Hands-on: building a custom object detector
Module 4: Advanced Computer Vision
- 🎬 Face detection and recognition pipelines — free preview
- 📄 Video analysis and motion tracking
- 🎬 Image segmentation (semantic & instance)
- 📄 Deploying CV models to edge devices