We build open-source tools, a hosted platform and the community required for companies and developers to train and deploy computer vision models and systems for visual understanding.” ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision (CV) tasks. DINOv2 is pretrained on a curated dataset of 142M images and can be used as a backbone for several tasks, inclu ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

GPT language models is one, high-definition computer vision is another one, and recommendation models are the third one. The decision is driven by customer demand. Liang said that although ...

For example, computer vision systems for AVs learn from road events like car accidents, which are (fortunately) so rare that it’s difficult to collect enough examples to train models.

Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like 'no' and 'not.' This could cause them to fail unexpectedly when asked to ...

But Meta claims FACET is more thorough than any of the computer vision bias benchmarks that came before it — able to answer questions like “Are models better at classifying people as ...