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New AI Model Can “Cut Out” Any Object Within an Image—and Meta is Sharing the Code

posted by janrinok on Monday April 10, @05:49PM   Printer-friendly
from the cut-and-paste dept.

Freeman writes:

https://arstechnica.com/information-technology/2023/04/meta-introduces-ai-model-that-can-isolate-and-mask-objects-within-images/

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image. Image segmentation is a process in computer vision that involves dividing an image into multiple segments or regions, each representing a specific object or area of interest.

The purpose of image segmentation is to make an image easier to analyze or process. Meta also sees the technology as being useful for understanding webpage content, augmented reality applications, image editing, and aiding scientific study by automatically localizing animals or objects to track on video.

Related:
MIT's Computer Vision (CV) Algorithm Identifies Images Down to the Pixel (20220424)
NVIDIA Research's GauGAN AI Art Demo Responds to Words (20211130)
Ask Soylent: Beginning in Artificial Intelligence Methods (20150629)

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  • (Score: 2) by ikanreed on Monday April 10, @08:59PM (2 children)

    by ikanreed (3164) on Monday April 10, @08:59PM (#1300808) Journal

    Especially the broken LaTex in the abstract

    We are releasing the Segment Anything Model (SAM) and corresponding dataset (SA-1B) of 1B masks and 11M images at \href{https://segment-anything.com}{https://segment-anything.com} to foster research into foundation models for computer vision.

    Definetly speaks to high technology skills.

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  • (Score: 2) by jb on Tuesday April 11, @07:56AM (1 child)

    by jb (338) on Tuesday April 11, @07:56AM (#1300922)

    Especially the broken LaTex in the abstract

    We are releasing the Segment Anything Model (SAM) and corresponding dataset (SA-1B) of 1B masks and 11M images at \href{https://segment-anything.com}{https://segment-anything.com} to foster research into foundation models for computer vision.

    Definetly speaks to high technology skills.

    Looks like someone went out of his way to introduce that "error".

    Surely, if the only mistake was \\href instead of \href in the source (which is the error that the above seems to be masquerading as), the two sets of braces would not have rendered at all (as they would simply define block boundaries)?

    • (Score: 3, Insightful) by maxwell demon on Tuesday April 11, @08:44AM

      by maxwell demon (1608) Subscriber Badge on Tuesday April 11, @08:44AM (#1300928) Journal

      If you look at the actual paper, then you'll see the link rendered correctly. I suspect that the web site's code simply copied everything between \begin{abstract} and \end{abstract} verbatim into the HTML, without even attempting to interpret any LaTeX inside.

      I doubt that the authors of the paper are in any way involved in the development of the web site on which the paper is presented.

      --
      The Tao of math: The numbers you can count are not the real numbers.