Computer Vision – Face Detection Portfolio
Object detection project using OpenCV
- Difficulty
- Medium
- Estimated time
- 8-10 hours
Skills
- OpenCV
- Image Processing
- Video Processing
- Object Detection
- Face Detection
Advanced · course 4 of 5

Learn computer vision fundamentals: Numpy & image basics, image processing, video basics, and object detection with OpenCV.
The Scientify programme is led by Jihar Gifari.
5 sections · 20 videos
Videos marked Free play right now, no account needed.
Free video · 1/4
Numpy and Image Basics with OpenCV Part 1
Section 1 · CV Part 1 – Numpy and Image Basics with OpenCV
Free videos in this course
Computer vision basics: image representation as arrays, reading and displaying images, and basic operations with OpenCV.
Image processing techniques: color spaces, blurring, thresholding, morphological operations, and edge detection.
Video processing with OpenCV: reading video streams, frame processing, and writing video output.
Object detection using OpenCV: template matching, contour detection, and Haar Cascade classifiers.
Exercises and face detection portfolio project: build a real-time face detection system using OpenCV.
Portfolio project
Object detection project using OpenCV
How to buy
Take a level package if you want several courses at once, or buy just this course.
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Answer four questions about what you already know, then see which level to start at.
Advanced package, 1 monthRp 129.000