A meta-AI model for identifying items within images

(Reuters) – Facebook-owned Meta (META.O) published on Wednesday an artificial intelligence model that can identify individual objects within an image, along with the largest dataset of image annotations ever published.

Segment Anything Model(SAM)

The company’s research division claimed in a blog post that its Segment Anything Model, or SAM, could recognize objects in images and videos even if it had never seen those objects before.

Want a Free Website

By using SAM, objects can be selected by clicking on them or by typing text prompts. During one demonstration, writing the word “cat” caused the tool to draw boxes around several cats.

Since Microsoft-backed (MSFT.O) OpenAI’s ChatGPT chatbot became a sensation in the autumn, sparking a surge of investments and a race to dominate the area, big tech companies have been bragging about their artificial intelligence advances.

Though it hasn’t yet made a product available, Meta has teased a number of features that use the generative AI made famous by ChatGPT, which generates entirely new material rather than just detecting or categorizing data like conventional AI.

Examples include a program that creates surrealist videos from text prompts and another that turns prose into pictures for children’s books.

According to Chief Executive Mark Zuckerberg, adding these generative AI “creative tools” to Meta’s products is a top focus for this year.

Internally, Meta does make use of SAM-like technologies for tasks including tagging photographs, removing objectionable information, and choosing which articles to promote to Facebook and Instagram users.

The corporation said that the introduction of SAM will increase access to that kind of technology.

A non-commercial license will be required to obtain the SAM model and dataset. Users who upload their own photographs to an associated prototype must also consent to use them strictly for study.

Want a Free Website