Meta's self-supervised computer vision model can learn random collection of images on the internet
"We’re excited to announce new advances in SEER (SElf-SupERvised), Meta AI Research’s groundbreaking self-supervised computer vision model that can learn directly from any random collection of images on the internet — without the need for careful data curation and labeling that goes into conventional computer vision training — and then output an image embedding. SEER is now not only much more powerful, it also produces fairer, more robust computer vision models and can discover salient information in images, similar to how humans learn about the world by considering the relationships between the different objects they observe. SEER can help build breakthrough computer vision systems and advance towards building AI that works well for everyone. We’re also publicly releasing the model and sharing new technical details about how it works. While SEER is purely a research model for now, it will help Meta AI build better computer vision systems for products used by billions of people around the world."
Via: / seer-10b-better-fairer-computer-vision-thr...
—————————————
Subscribe to my channel for more interesting videos: https://goo.gl/YzvC5R
Facebook: https://goo.gl/d69uQ6
Website: https://www.digitalinformationworld.com/
