Facebook-owned Meta released an artificial intelligence model that can detect specific objects within an image, as well as the world’s largest dataset of image annotations.
The company’s research division stated that its Segment Anything Model, or SAM, could recognize objects in images and videos even when it had not met those items during training. The Meta AI model as the interesting ability to identify items within images using the Segment Anything Model.
Meta AI model
Objects can be chosen using SAM by clicking on them or typing text prompts. Writing the word “cat” caused the tool to draw boxes around each of several cats in a picture in one demonstration.
Objects can be chosen using SAM by clicking on them or typing text prompts. Writing the word “cat” caused the tool to draw boxes around each of several cats in a picture in one demonstration.
Since Microsoft-backed OpenAI’s Language Model ChatGPT became a sensation in the fall, sparking a wave of investments and a race to dominate, big tech companies have been trumpeting their artificial intelligence triumphs.
Although Meta has not yet launched a Meta AI model product, it has teased several features that use the type of generative AI popularized by ChatGPT, which creates entirely new content rather than simply identifying or categorizing data like other AI.
A tool that produces surrealist videos from text prompts is one example, as is another that generates children’s book images from prose. Internally, Meta already employs SAM-like technology for tasks such as tagging photos, moderating prohibited material, and determining which posts to suggest to Facebook and Instagram users.
According to the company, the release of the Meta AI model, SAM will increase access to that sort of technology. The SAM model and dataset will be made accessible for non-commercial use. Users who submit their own images to an accompanying prototype must also agree to only use it for research purposes.