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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>
30 lines
916 B
Markdown
30 lines
916 B
Markdown
---
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comments: true
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description: Understand multi-object tracking datasets, upcoming features and how to use them with YOLO in Python and CLI. Dive in now!.
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keywords: Ultralytics, YOLO, multi-object tracking, datasets, detection, segmentation, pose models, Python, CLI
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---
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# Multi-object Tracking Datasets Overview
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## Dataset Format (Coming Soon)
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Multi-Object Detector doesn't need standalone training and directly supports pre-trained detection, segmentation or Pose models. Support for training trackers alone is coming soon
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## Usage
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!!! example ""
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=== "Python"
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```python
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from ultralytics import YOLO
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model = YOLO('yolov8n.pt')
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results = model.track(source="https://youtu.be/LNwODJXcvt4", conf=0.3, iou=0.5, show=True)
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```
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=== "CLI"
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```bash
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yolo track model=yolov8n.pt source="https://youtu.be/LNwODJXcvt4" conf=0.3, iou=0.5 show
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```
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