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---
metrics:
- precision
- recall
- f1
pipeline_tag: object-detection
library_name: dghs-realutils
tags:
- face
- yolo
- dghs-imgutils
- dghs-realutils
language:
- en
---
ONNX model exported from [akanametov/yolo-face](https://github.com/akanametov/yolo-face).
Use this with `dghs-realutils`
```shell
pip install dghs-realutils
```
```python
from realutils.detect import detect_real_faces
print(detect_real_faces('yolo/solo.jpg'))
# [((168, 79, 245, 199), 'face', 0.7996422052383423)]
print(detect_real_faces('yolo/2girls.jpg'))
# [((721, 152, 1082, 726), 'face', 0.8811314702033997), ((158, 263, 509, 714), 'face', 0.8745490908622742)]
print(detect_real_faces('yolo/3+cosplay.jpg'))
# [((351, 228, 410, 302), 'face', 0.8392542600631714), ((384, 63, 427, 116), 'face', 0.8173024654388428), ((195, 109, 246, 161), 'face', 0.8126493692398071)]
print(detect_real_faces('yolo/multiple.jpg'))
# [((1074, 732, 1258, 987), 'face', 0.8792377710342407), ((1378, 536, 1541, 716), 'face', 0.8607611656188965), ((554, 295, 759, 557), 'face', 0.8541485071182251), ((897, 315, 1068, 520), 'face', 0.8539882898330688), ((1194, 230, 1329, 403), 'face', 0.8324605226516724)]
```
For more information, see [documentation of realutils](https://dghs-realutils.deepghs.org/main/api_doc/detect/face.html).
## Models Available
| Model | Type | FLOPS | Params | precision(B) | recall(B) | mAP50(B) | mAP50-95(B) | Labels |
|:-------------:|:------:|:-------:|:--------:|:--------------:|:-----------:|:----------:|:-------------:|:--------:|
| yolov11s-face | yolo | 21.5G | 9.43M | 0.864 | 0.626 | 0.713 | 0.392 | `face` |
| yolov11m-face | yolo | 68.2G | 20.1M | 0.876 | 0.656 | 0.742 | 0.414 | `face` |
| yolov11l-face | yolo | 87.3G | 25.3M | 0.872 | 0.664 | 0.746 | 0.419 | `face` |
| yolov10s-face | yolo | 24.8G | 8.07M | 0.858 | 0.621 | 0.708 | 0.391 | `face` |
| yolov10n-face | yolo | 8.39G | 2.71M | 0.835 | 0.576 | 0.658 | 0.357 | `face` |
| yolov10m-face | yolo | 64G | 16.5M | 0.865 | 0.639 | 0.728 | 0.405 | `face` |
| yolov10l-face | yolo | 127G | 25.8M | 0.867 | 0.65 | 0.739 | 0.416 | `face` |
| yolov8n-face | yolo | 8.19G | 3.01M | N/A | N/A | N/A | N/A | `face` |
| yolov8m-face | yolo | 79.1G | 25.9M | N/A | N/A | N/A | N/A | `face` |
| yolov8l-face | yolo | 165G | 43.6M | N/A | N/A | N/A | N/A | `face` |
| yolov6n-face | yolo | 11.9G | 4.24M | 0.865 | 0.631 | 0.714 | 0.39 | `face` |
| yolov6m-face | yolo | 162G | 52M | 0.881 | 0.683 | 0.763 | 0.425 | `face` |
| yolov11n-face | yolo | 6.44G | 2.59M | 0.852 | 0.581 | 0.665 | 0.359 | `face` | |