Computer Vision is a field of AI that trains computers to interpret and understand the visual world. It enables machines to identify and process objects in images and videos in the same way that human vision does.
The Goal:
• Extract meaningful information from visual data
• Make decisions based on visual input
• Understand the content and context of images
• Bridge the gap between pixels and concepts
🎯 The Fundamental Challenge
How do we go from a 2D array of pixel values to understanding that there's a "cat sitting on a chair"? This semantic gap is what makes computer vision challenging!