Putting it to the Test: Segment Anything vs. Traditional Segmentation Tools
The SA-1B Dataset is huge, with 11 million images and 1 billion masks. It trains the Segment Anything Model (SAM). This data size has boosted SAM's abilities a lot, setting a high bar in image segmentation.
Image segmentation has evolved a lot in computer vision. It groups similar