Add https://youtu.be/yXQPLMrNX2s to docs (#16626)
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@ -12,6 +12,17 @@ SAM 2, the successor to Meta's [Segment Anything Model (SAM)](sam.md), is a cutt
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## Key Features
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<p align="center">
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<br>
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<iframe loading="lazy" width="720" height="405" src="https://www.youtube.com/embed/yXQPLMrNX2s"
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title="YouTube video player" frameborder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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allowfullscreen>
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</iframe>
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<br>
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<strong>Watch:</strong> How to Run Inference with Meta's SAM2 using Ultralytics | Step-by-Step Guide 🎉
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</p>
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### Unified Model Architecture
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SAM 2 combines the capabilities of image and video segmentation in a single model. This unification simplifies deployment and allows for consistent performance across different media types. It leverages a flexible prompt-based interface, enabling users to specify objects of interest through various prompt types, such as points, bounding boxes, or masks.
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