Introduction to Computer Vision

Description

Description

This course provides an introduction to computer vision, the AI field focused on enabling machines to "see" and interpret visual information. Topics include image processing, edge detection, object recognition, and feature extraction. Learners use libraries such as OpenCV and TensorFlow to build applications like face detection, image classification, and motion tracking. Projects include working with webcam input, creating augmented reality effects, and image filtering. The course combines theory and practical labs to help students understand how vision-based AI is applied in industries such as automotive, retail, and security. Ideal for AI enthusiasts and developers with basic Python knowledge.

Mia Bell

Loved the examples and hands-on exercises.

松田真央

とても分かりやすくて勉強になりました！

Samuel King

A well-structured course that covers all the important topics.

中島里奈

Great for building real-world projects and applying what you learn.

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Introduction to Computer Vision