Update SAM 2 docs (#14864)
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@ -6,10 +6,6 @@ keywords: SAM 2, Segment Anything, video segmentation, image segmentation, promp
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# SAM 2: Segment Anything Model 2
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# SAM 2: Segment Anything Model 2
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!!! Note "🚧 SAM 2 Integration In Progress 🚧"
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The SAM 2 features described in this documentation are currently not enabled in the `ultralytics` package. The Ultralytics team is actively working on integrating SAM 2, and these capabilities should be available soon. We appreciate your patience as we work to implement this exciting new model.
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SAM 2, the successor to Meta's [Segment Anything Model (SAM)](sam.md), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization.
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SAM 2, the successor to Meta's [Segment Anything Model (SAM)](sam.md), is a cutting-edge tool designed for comprehensive object segmentation in both images and videos. It excels in handling complex visual data through a unified, promptable model architecture that supports real-time processing and zero-shot generalization.
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@ -105,10 +101,6 @@ pip install ultralytics
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## How to Use SAM 2: Versatility in Image and Video Segmentation
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## How to Use SAM 2: Versatility in Image and Video Segmentation
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!!! Note "🚧 SAM 2 Integration In Progress 🚧"
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The SAM 2 features described in this documentation are currently not enabled in the `ultralytics` package. The Ultralytics team is actively working on integrating SAM 2, and these capabilities should be available soon. We appreciate your patience as we work to implement this exciting new model.
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The following table details the available SAM 2 models, their pre-trained weights, supported tasks, and compatibility with different operating modes like [Inference](../modes/predict.md), [Validation](../modes/val.md), [Training](../modes/train.md), and [Export](../modes/export.md).
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The following table details the available SAM 2 models, their pre-trained weights, supported tasks, and compatibility with different operating modes like [Inference](../modes/predict.md), [Validation](../modes/val.md), [Training](../modes/train.md), and [Export](../modes/export.md).
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| Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |
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| Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |
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