Sergiu Waxmann 2f02d8ea53
Docs updates for HUB, YOLOv4, YOLOv7, NAS (#3174)
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2023-06-15 21:17:10 +02:00

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comments description keywords
true Discover the datasets compatible with Multi-Object Detector. Train your trackers and make your detections more efficient with Ultralytics' YOLO. multi-object tracking, dataset format, ultralytics yolo, object detection, segmentation, pose model, 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/Zgi9g1ksQHc", conf=0.3, iou=0.5, show=True) 
    ```
=== "CLI"

    ```bash
    yolo track model=yolov8n.pt source="https://youtu.be/Zgi9g1ksQHc" conf=0.3, iou=0.5 show
    ```