# RF-DETR-Seg-N

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

- Family: RF-DETR (Roboflow)
- Parameters: 0.0M
- GFLOPs: 0.0
- Default input size: 312px
- Detection: detr · nms-free
- Architecture: transformer · DINOv2 backbone
- Weight license: Apache-2.0
- Paper: https://blog.roboflow.com/rf-detr
- Original code: https://github.com/roboflow/rf-detr

## Benchmarks (COCO val2017)

| Hardware | Runtime | mAP@50-95 | FPS | Latency (ms) | VRAM (MB) |
|---|---|---|---|---|---|
| NVIDIA RTX 5070 Ti | PyTorch FP32 | 40.4 | 35.1 | 28.5 | 347 |

## Usage with LibreYOLO

```python
from libreyolo import LibreYOLO

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

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