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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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comments | description | keywords |
---|---|---|
true | Understand multi-object tracking datasets, upcoming features and how to use them with YOLO in Python and CLI. Dive in now!. | Ultralytics, YOLO, multi-object tracking, datasets, detection, segmentation, pose models, Python, CLI |
Multi-object Tracking Datasets Overview
Dataset Format (Coming Soon)
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
Usage
!!! example ""
=== "Python"
```python
from ultralytics import YOLO
model = YOLO('yolov8n.pt')
results = model.track(source="https://youtu.be/LNwODJXcvt4", conf=0.3, iou=0.5, show=True)
```
=== "CLI"
```bash
yolo track model=yolov8n.pt source="https://youtu.be/LNwODJXcvt4" conf=0.3, iou=0.5 show
```