A research team led by Prof. Wang Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

Medical image segmentation is one of the most important tasks in modern healthcare. Every pixel in a scan tells a story, whether it marks a healthy cell, a cancerous growth, or a vital organ boundary.

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science ...

Meta AI has introduced the Segment Anything Model (SAM), aiming to democratize image segmentation by introducing a new task, dataset, and model. The project features the Segment Anything Model ...

Meta Meta's Segment Anything project includes a new task, dataset, and model for image segmentation that aims to "democratize segmentation," according to Meta. Also: ChatGPT's intelligence is zero ...

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image.

Users can now try out Meta’s new AI-powered promptable 'Segment Anything Model' that’s based on a 1-billion-strong mask dataset.

Google's newly open-sourced AI image segmentation systems and models are optimized for its cloud TPU hardware, the company says.