Introduction to Computer Vision and Image Processing
Completed by Ming-Hua Sean Diep Lawrence
June 23, 2024
23 hours (approximately)
Ming-Hua Sean Diep Lawrence'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: Model Optimization
- Category: Computer Vision
- Category: Transfer Learning
- Category: Classification Algorithms
- Category: Machine Learning Algorithms
- Category: Network Architecture
- Category: Deep Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Machine Learning Methods
- Category: Image Quality
- Category: Convolutional Neural Networks
