Introduction to Computer Vision and Image Processing
Completed by KNUT ERIKSEN HEGG
February 9, 2026
23 hours (approximately)
KNUT ERIKSEN HEGG's account is verified. Coursera certifies their successful completion of Introduction to Computer Vision and Image Processing
What you will learn
Hands-on skills to apply computer vision across industries such as robotics, autonomous systems, and augmented reality
Practical techniques to process, analyze, and interpret images for intelligent visual insights
How to use Python, Pillow, and OpenCV to perform image filtering, enhancement, classification, and object detection
Step-by-step guidance to build and train an image classifier using supervised learning methods
Skills you will gain
- Category: Computer Vision
- Category: Transfer Learning
- Category: Image Quality
- Category: Convolutional Neural Networks
- Category: Model Evaluation
- Category: Model Training
- Category: Deep Learning
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Network Architecture
- Category: Machine Learning Methods
- Category: Model Optimization
