> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-comfy-docs-comfyapi-search.mintlify.site/llms.txt
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# SAM3_VideoTrack - ComfyUI Built-in Node Documentation

> Track objects across video frames using SAM3's memory-based tracker.

Track objects across video frames using SAM3's memory-based tracker. The node processes a sequence of video frames and maintains object identities across frames, using either initial masks or text prompts to define what to track, and can detect new objects along the way using text conditioning.

## Inputs

| Parameter             | Description                                                                                             | Data Type    | Required | Range                  |
| --------------------- | ------------------------------------------------------------------------------------------------------- | ------------ | -------- | ---------------------- |
| `images`              | Video frames as batched images                                                                          | IMAGE        | Yes      | Batched video frames   |
| `model`               | The SAM3 model to use for tracking                                                                      | MODEL        | Yes      | SAM3 model             |
| `initial_mask`        | Mask(s) for the first frame to track (one per object)                                                   | MASK         | No       | One mask per object    |
| `conditioning`        | Text conditioning for detecting new objects during tracking                                             | CONDITIONING | No       | Text conditioning      |
| `detection_threshold` | Score threshold for text-prompted detection (default: 0.5)                                              | FLOAT        | No       | 0.0 to 1.0 (step 0.01) |
| `max_objects`         | Max tracked objects. Initial masks count toward this limit. 0 uses the internal cap of 64. (default: 4) | INT          | No       | 0 to 64                |
| `detect_interval`     | Run detection every N frames (1=every frame). Higher values save compute. (default: 1)                  | INT          | No       | 1 or higher            |

**Note:** Either `initial_mask` or `conditioning` must be provided. If both are omitted, the node raises an error.

## Outputs

| Output Name  | Description                                                                | Data Type         |
| ------------ | -------------------------------------------------------------------------- | ----------------- |
| `track_data` | Tracking data containing object masks and metadata across all video frames | SAM3\_TRACK\_DATA |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/SAM3_VideoTrack/en.md)

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