Introduction to Computer Vision
This module is currently in development.
Computer vision is a field of artificial intelligence that enables computers to interpret and make decisions based on visual data from the world. Image classification involves categorizing images into predefined classes, such as identifying whether an image contains a cat or a dog. Object detection goes a step further by not only identifying objects within an image but also pinpointing their locations with bounding boxes, making it useful for applications like autonomous driving and security surveillance. Image segmentation divides an image into a mask based on specific characteristics, allowing for detailed analysis and understanding, such as in medical imaging where different tissues or structures need to be identified. Synthetic data involves generating artificial data that mimics real-world data, which is particularly useful for training computer vision models when real data is scarce, expensive, or sensitive. This data can enhance the robustness of models used in diverse fields such as virtual reality, robotics, and agricultural monitoring by providing a wide range of controlled scenarios for testing and improvement.