Meta's AI models revolutionize image segmentation and identification.

TL;DR Summary
Meta has introduced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training. SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image. Meta hopes to "democratize" the process of creating accurate segmentation models by reducing the need for specialized training and expertise. Meta has also assembled a dataset it calls "SA-1B" that includes 11 million images licensed from "a large photo company" and 1.1 billion segmentation masks produced by its segmentation model.
- Meta introduces AI model that can isolate and mask objects within images Ars Technica
- Meta Releases New AI-Based Photo Segmentation Tool to Everybody Gizmodo
- Meta releases AI model that can identify items within images Reuters
- Mark Zuckerberg is spending most of his time on A.I., says Meta CTO CNBC
- Facebook parent Meta releases A.I. model ‘SAM’ that can identify images within photos Fox Business
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