Vision Transformers treat images as relationships. This is an important step towards object detection and identification in practical applications. To achieve this, computers navigate through a complex landscape of real-world problems.
Computers don’t see like humans; they translate light into numbers, detect patterns, and learn through neural networks. From pixels to perception, machine vision interprets the world, enabling tasks from self-driving cars to medical analysis.