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Update https://docs.ultralytics.com/models (#6513)

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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>
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docs/en/models/rtdetr.md
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@ -26,13 +26,11 @@ The Ultralytics Python API provides pre-trained PaddlePaddle RT-DETR models with
- RT-DETR-L: 53.0% AP on COCO val2017, 114 FPS on T4 GPU
- RT-DETR-X: 54.8% AP on COCO val2017, 74 FPS on T4 GPU
## Usage
## Usage Examples
You can use RT-DETR for object detection tasks using the `ultralytics` pip package. The following is a sample code snippet showing how to use RT-DETR models for training and inference:
This example provides simple RT-DETRR training and inference examples. For full documentation on these and other [modes](../modes/index.md) see the [Predict](../modes/predict.md), [Train](../modes/train.md), [Val](../modes/val.md) and [Export](../modes/export.md) docs pages.
!!! Example ""
This example provides simple inference code for RT-DETR. For more options including handling inference results see [Predict](../modes/predict.md) mode. For using RT-DETR with additional modes see [Train](../modes/train.md), [Val](../modes/val.md) and [Export](../modes/export.md).
!!! Example
=== "Python"
@ -62,26 +60,20 @@ You can use RT-DETR for object detection tasks using the `ultralytics` pip packa
yolo predict model=rtdetr-l.pt source=path/to/bus.jpg
```
### Supported Tasks
## Supported Tasks and Modes
| Model Type | Pre-trained Weights | Tasks Supported |
|---------------------|---------------------|------------------|
| RT-DETR Large | `rtdetr-l.pt` | Object Detection |
| RT-DETR Extra-Large | `rtdetr-x.pt` | Object Detection |
This table presents the model types, the specific pre-trained weights, the tasks supported by each model, and the various modes ([Train](../modes/train.md) , [Val](../modes/val.md), [Predict](../modes/predict.md), [Export](../modes/export.md)) that are supported, indicated by ✅ emojis.
### Supported Modes
| Mode | Supported |
|------------|-----------|
| Inference | ✅ |
| Validation | ✅ |
| Training | ✅ |
| Model Type | Pre-trained Weights | Tasks Supported | Inference | Validation | Training | Export |
|---------------------|---------------------|----------------------------------------|-----------|------------|----------|--------|
| RT-DETR Large | `rtdetr-l.pt` | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
| RT-DETR Extra-Large | `rtdetr-x.pt` | [Object Detection](../tasks/detect.md) | ✅ | ✅ | ✅ | ✅ |
## Citations and Acknowledgements
If you use Baidu's RT-DETR in your research or development work, please cite the [original paper](https://arxiv.org/abs/2304.08069):
!!! Note ""
!!! Quote ""
=== "BibTeX"