Glenn Jocher 16a13a1ce0
Update https://docs.ultralytics.com/models (#6513)
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>
2023-11-22 20:45:46 +01:00

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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
    ```