Description
Neural networks can be trained and run with a C and CUDA framework commonly used for computer-vision experiments. This is useful for developers working with object detection models and GPU-accelerated inference.
It is a machine-learning framework, not a finished recognition app. Results depend on datasets, model weights, GPU drivers, CUDA support, and responsible handling of images or video being analyzed.