Vision AI lets machines see and understand images.
How It Works:
Vision AI uses convolutional neural networks and transformers to process pixel data, detect objects, segment scenes, and extract attributes.
Key Benefits:
Real-World Use Cases:
GPUs accelerate training; inference may run on CPUs or edge accelerators.
Use bounding boxes, masks, or keypoints as needed.