SAMBrowser WASMvery fastSam3D Sam Audio SAM2Introducing SAM 2: The next generation of Meta Segment Anything Model for videos and imagesToday, we’re publicly releasing SAM 2, the first-ever unified model for segmenting anything in videos and images.https://ai.meta.com/blog/segment-anything-2/WebGPU Segment Anything WebGPU - a Hugging Face Space by XenovaDiscover amazing ML apps made by the communityhttps://huggingface.co/spaces/Xenova/segment-anything-webgpuarxiv.orghttps://arxiv.org/abs/2304.02643Introducing Segment AnythingWe're releasing the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation — and the SA-1B dataset.https://ai.facebook.com/blog/segment-anything-foundation-model-image-segmentation/Segment AnythingMeta AI Computer Vision Researchhttps://segment-anything.com/SA-V DatasetSA-V | Meta AI ResearchSA-V is a dataset designed for training general-purpose object segmentation models from open world videos. The dataset was introduced in our paper “Segment Anything 2”. .https://ai.meta.com/datasets/segment-anything-video/Introducing Segment AnythingWe're releasing the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation — and the SA-1B dataset.https://ai.facebook.com/blog/segment-anything-foundation-model-image-segmentation/SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global Reasoning (Object Multiplexing)SAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global ReasoningWe’ve seen incredible adoption of SAM 3 over the last few months, and during that time, we’ve been working behind the scenes on updates to improve video processing efficiency. Today, we’re pleased to introduce SAM 3.1.https://ai.meta.com/blog/segment-anything-model-3/
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