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Sam 2: The next generation of Meta Segment Anything Model
Today, we’re publicly releasing SAM 2, the first-ever unified model for segmenting anything in videos and images.
SAM 2 can also segment any object in any video or image (commonly described as zero-shot generalization), which means that it can be applied to previously unseen visual content without custom adaptation. Before SAM was released, creating an accurate object segmentation model for specific image tasks required highly specialized work by technical experts with access to AI training infrastructure and large volumes of carefully annotated in-domain data. SAM revolutionized this space, enabling application to a wide variety of real-world image segmentation and out-of-the-box use cases via prompting techniques—similar to how large language models can perform a range of tasks without requiring custom data or expensive adaptations.
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