ultralytics-ascend/docs/en/datasets/track/index.md

comments	description	keywords
true	Learn how to use Multi-Object Tracking with YOLO. Explore dataset formats and see upcoming features for training trackers. Start with Python or CLI examples.	YOLO, Multi-Object Tracking, Tracking Datasets, Python Tracking Example, CLI Tracking Example, Object Detection, Ultralytics, AI, Machine Learning

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
    ```