---
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`  |