# RT-DETR-L

> RT-DETR-L: transformer object detector from the RT-DETR family. Available in LibreYOLO, the MIT-licensed open-source library (free for commercial use).

- Family: RT-DETR (Baidu)
- Parameters: 32.0M
- GFLOPs: 110.0
- Default input size: 640px
- Detection: detr · nms-free
- Architecture: transformer · HGNetv2-L backbone
- Weight license: Apache-2.0
- Paper-reported mAP@50-95: 53%
- Paper: https://arxiv.org/abs/2304.08069
- Original code: https://github.com/lyuwenyu/RT-DETR

## Benchmarks (COCO val2017)

| Hardware | Runtime | mAP@50-95 | FPS | Latency (ms) | VRAM (MB) |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin Nano Super 8GB | ONNX Runtime FP32 | 55.8 | 4.8 | 206.5 | - |
| NVIDIA Jetson Orin Nano Super 8GB | PyTorch FP32 | 55.8 | 4.9 | 206.0 | 230 |
| NVIDIA Jetson Orin Nano Super 8GB | TensorRT FP16 | 55.8 | 24.1 | 41.5 | - |
| NVIDIA Jetson Orin Nano Super 8GB | TensorRT FP32 | 55.8 | 13.6 | 73.5 | - |
| NVIDIA RTX 5070 Ti | ONNX Runtime FP32 | 55.8 | 64.5 | 15.5 | - |
| NVIDIA RTX 5070 Ti | PyTorch FP32 | 55.8 | 27.7 | 36.1 | 231 |
| NVIDIA RTX 5070 Ti | TensorRT FP16 | 55.8 | 122.0 | 8.2 | - |
| NVIDIA RTX 5070 Ti | TensorRT FP32 | 55.7 | 94.2 | 10.6 | - |
| Raspberry Pi 5 | ONNX Runtime FP32 | 55.8 | 0.7 | 1461.0 | - |
| Raspberry Pi 5 | PyTorch FP32 | 55.8 | 0.4 | 2345.2 | - |

## Usage with LibreYOLO

```python
from libreyolo import LibreYOLO

model = LibreYOLO("LibreRTDETRl.pt")
result = model("image.jpg", conf=0.25, iou=0.45)
```

Source: https://www.visionanalysis.org/model/rtdetr-l. Benchmarks produced with LibreYOLO (https://github.com/Libre-YOLO/libreyolo).