LogInSegment Anything can detect and identify objects.
Meta AI presented Segment Anything – a new open-source task, dataset, and model for image segmentation. It can detect and identify objects in pictures and transfer zero-shot to new image distributions and tasks.
"Segmentation — identifying which image pixels belong to an object — is a core task in computer vision and is used in a broad array of applications, from analyzing scientific imagery to editing photos. But creating an accurate segmentation model for specific tasks typically requires highly specialized work by technical experts with access to AI training infrastructure and large volumes of carefully annotated in-domain data."
The company also released its one-billion mask dataset, "the largest ever segmentation dataset, to enable a broad set of applications and foster further research into foundation models for computer vision".
The model (SAM) knows what objects are and can generate masks for any object in any image or any video, even including objects and image types that it had not encountered during training. It is general and can be applied in different fields.
"In the future, SAM could be used to help power applications in numerous domains that require finding and segmenting any object in any image. For the AI research community and others, SAM could become a component in larger AI systems for more general multimodal understanding of the world... For content creators, SAM can improve creative applications such as extracting image regions for collages or video editing. SAM could also be used to aid scientific study of natural occurrences on Earth or even in space."
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