NVIDIA Computer Vision

Empower your devices to perceive and understand the world around us with powerful software that’s masterful, scalable, and tested.

NVIDIA software enables the end-to-end computer vision workflow—from model development to deployment—for individual developers, higher education and research, and enterprises.

Computer vision is a field of technology that enables devices like smart cameras to acquire, process, analyze, and interpret images and videos. For example, the driver assistance system on a vehicle designed with computer vision algorithms uses cameras and other sensors to not only display, but to perceive what’s in front of and behind it to identify and classify regions or points of interest within an image frame. In this case, computer vision has a safety application—helping the vehicle operator to navigate around road debris, other vehicles, animals, and people. Similarly, farmers might rely on computer vision-enabled devices to automatically identify weeds and where crops are growing well over a large field to increase yield. Today’s computer vision tasks like these are based on artificial intelligence and, more specifically, deep learning, a type of machine learning patterned after the brain. Deep learning-based computer vision models enable devices to perform and adapt like a human expert while requiring significantly less input.

Get Started with NVIDIA’s Pre-Trained Models
for Computer Vision

Developing models for these techniques on your own would require a lot of training data, time, and expertise. Here’s the good news- you do not have to be an expert to get started. NVIDIA hosts a number of pre-trained models, already-built and ready-to-use, to start developing your own computer vision solutions. Start with NGC, our GPU-accelerated software hub, to learn about computer vision models and resources, as well as other deep learning-based speech and natural language processing use cases and application frameworks.

EXPLORE PRE-TRAINED MODELS ON NGC CATALOG