On Wednesday, Meta, the owner of Facebook, released a collection of image annotations that it claimed was the biggest ever of its kind combined with a model based on AI that can identify specific items within an image. The final dataset contains over 1.1 billion masks of segmentation from over 11 million licenced and privacy-preserving photos.
The organization’s research department said in a blog article that the company’s Segment Anything Model, or SAM, could recognise objects in pictures and videos even when it hadn’t seen those objects during training.
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SAM allows users to select objects by clicking on them or by entering text commands. Typing the word “cat” in one demonstration caused the tool to generate boxes around each of the multiple cats in a picture.
Meta noted, “Meta stated, “Our objective was to build a foundation model for image segmentation… a promotable model that is trained on a variety of data and can adapt to specific tasks, analogous to the use of prompting in models of natural language processing.”
However, in contrast to images, videos, and text, the segmentation data required to train such a model is not easily accessible online or anywhere else. So, with Segment Anything, we set out to simultaneously create a segmentation dataset of unprecedented scale and develop a general, prompt segmentation model.”
Since Microsoft-backed OpenAI’s ChatGPT chatbot became an internet hit in the fall, sparking a surge of investments and a race to dominate the area, large tech firms 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 recognising or categorising data like other AI.
Examples include a programme that creates surrealist films from word cues and another that turns prose into pictures for children’s books.
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According to Chief Executive Mark Zuckerberg, adding these generative AI “creative aids” 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 licence will be required to download the SAM model and dataset. Users who upload their own photographs to an associated prototype must also consent to use them strictly for study.
I am a law graduate from NLU Lucknow. I have a flair for creative writing and hence in my free time work as a freelance content writer.