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Update https://docs.ultralytics.com/models (#6513)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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Glenn Jocher 2023-11-22 20:45:46 +01:00 • committed by GitHub
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docs/en/modes/track.md
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@ -32,10 +32,10 @@ The output from Ultralytics trackers is consistent with standard object detectio
## Real-world Applications
| Transportation | Retail | Aquaculture |
| Transportation | Retail | Aquaculture |
|:----------------------------------:|:--------------------------------:|:----------------------------:|
| ![Vehicle Tracking][vehicle track] | ![People Tracking][people track] | ![Fish Tracking][fish track] |
| Vehicle Tracking | People Tracking | Fish Tracking |
| Vehicle Tracking | People Tracking | Fish Tracking |
## Features at a Glance
@ -58,7 +58,7 @@ The default tracker is BoT-SORT.
To run the tracker on video streams, use a trained Detect, Segment or Pose model such as YOLOv8n, YOLOv8n-seg and YOLOv8n-pose.
!!! Example ""
!!! Example
=== "Python"
@ -97,7 +97,7 @@ As can be seen in the above usage, tracking is available for all Detect, Segment
Tracking configuration shares properties with Predict mode, such as `conf`, `iou`, and `show`. For further configurations, refer to the [Predict](../modes/predict.md#inference-arguments) model page.
!!! Example ""
!!! Example
=== "Python"
@ -120,7 +120,7 @@ Tracking configuration shares properties with Predict mode, such as `conf`, `iou
Ultralytics also allows you to use a modified tracker configuration file. To do this, simply make a copy of a tracker config file (for example, `custom_tracker.yaml`) from [ultralytics/cfg/trackers](https://github.com/ultralytics/ultralytics/tree/main/ultralytics/cfg/trackers) and modify any configurations (except the `tracker_type`) as per your needs.
!!! Example ""
!!! Example
=== "Python"
@ -354,5 +354,7 @@ To initiate your contribution, please refer to our [Contributing Guide](https://
Together, let's enhance the tracking capabilities of the Ultralytics YOLO ecosystem 🙏!
[vehicle track]: https://github.com/RizwanMunawar/ultralytics/assets/62513924/ee6e6038-383b-4f21-ac29-b2a1c7d386ab
[people track]: https://github.com/RizwanMunawar/ultralytics/assets/62513924/93bb4ee2-77a0-4e4e-8eb6-eb8f527f0527
[fish track]: https://github.com/RizwanMunawar/ultralytics/assets/62513924/a5146d0f-bfa8-4e0a-b7df-3c1446cd8142