Spaces:
Sleeping
Sleeping
comments: true | |
description: Understand multi-object tracking datasets, upcoming features and how to use them with YOLO in Python and CLI. Dive in now!. | |
keywords: 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 | |
``` | |