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ROS quickstart Docs page cleanup (#13835)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Francesco Mattioli 2024-06-20 18:41:19 +02:00 • committed by GitHub
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docs/en/models/yolov9.md
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@ -149,7 +149,7 @@ This example provides simple YOLOv9 training and inference examples. For full do
The YOLOv9 series offers a range of models, each optimized for high-performance [Object Detection](../tasks/detect.md). These models cater to varying computational needs and accuracy requirements, making them versatile for a wide array of applications.
| Model | Filenames | Tasks | Inference | Validation | Training | Export |
|------------|---------------------------------------------------------|----------------------------------------------|-----------|------------|----------|--------|
| ---------- | ------------------------------------------------------- | -------------------------------------------- | --------- | ---------- | -------- | ------ |
| YOLOv9 | `yolov9t` `yolov9s` `yolov9m` `yolov9c.pt` `yolov9e.pt` | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
| YOLOv9-seg | `yolov9c-seg.pt` `yolov9e-seg.pt` | [Instance Segmentation](../tasks/segment.md) | ✅ | ✅ | ✅ | ✅ |