Computer Vision

Sketchnote by Tomomi Imura

Computer Vision is a field of Artificial Intelligence that focuses on enabling computers to interpret and understand visual information from the world, such as images and videos. It involves the development of algorithms and models that can analyze visual data, recognize patterns, and make decisions based on visual inputs.

Computer Vision Use Cases

Computer Vision has a wide range of applications, including:

• Image and video analysis
• Object detection and recognition
• Facial recognition
• Autonomous vehicles
• Medical image analysis

In this section we will learn about:

• Intro to Computer Vision and OpenCV
• Convolutional Neural Networks
• Pre-trained Networks and Transfer Learning
• Autoencoders
• Generative Adversarial Networks
• Object Detection
• Semantic Segmentation