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real_face_detection

deepghs / real_face_detection

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Model's Last Updated: February 21 2025
object-detection

Introduction of real_face_detection

Model Details of real_face_detection

These models are trained on deepghs/anime_face_detection and open-sourced real photos datasets.

So both anime and photos are supported.

Use this with dghs-realutils 

pip install dghs-realutils

from realutils.detect import detect_faces

print(detect_faces('yolo/solo.jpg'))
# [((157, 94, 252, 208), 'face', 0.8836570382118225)]
print(detect_faces('yolo/2girls.jpg'))
# [((718, 154, 1110, 728), 'face', 0.8841166496276855), ((157, 275, 519, 715), 'face', 0.8668240904808044)]
print(detect_faces('yolo/3+cosplay.jpg'))
# [((349, 227, 413, 305), 'face', 0.8543888330459595), ((383, 61, 432, 117), 'face', 0.8080574870109558), ((194, 107, 245, 162), 'face', 0.8035706877708435)]
print(detect_faces('yolo/multiple.jpg'))
# [((1070, 728, 1259, 985), 'face', 0.8765808939933777), ((548, 286, 760, 558), 'face', 0.8693087697029114), ((896, 315, 1067, 520), 'face', 0.8671919107437134), ((1198, 220, 1342, 406), 'face', 0.8485829830169678), ((1376, 526, 1546, 719), 'face', 0.8469308018684387)]

For more information, see documentation of realutils .

Model Type FLOPS Params F1 Score Threshold precision(B) recall(B) mAP50(B) mAP50-95(B) F1 Plot Confusion Labels
face_detect_v0_s_yv12 yolo 21.5G 9.25M 0.74 0.272 0.86931 0.6404 0.73074 0.42652 plot confusion face
face_detect_v0_n_yv12 yolo 6.48G 2.57M 0.7 0.258 0.85246 0.59089 0.6793 0.39182 plot confusion face
face_detect_v0_l_yv11 yolo 87.3G 25.3M 0.77 0.291 0.88458 0.67474 0.76666 0.45722 plot confusion face
face_detect_v0_m_yv11 yolo 68.2G 20.1M 0.76 0.262 0.87947 0.67315 0.76073 0.45288 plot confusion face
face_detect_v0_s_yv11 yolo 21.5G 9.43M 0.73 0.271 0.87001 0.63572 0.72683 0.42706 plot confusion face
face_detect_v0_n_yv11 yolo 6.44G 2.59M 0.7 0.263 0.86044 0.58577 0.67641 0.38975 plot confusion face
face_detect_v0_l yolo 165G 43.6M 0.76 0.277 0.87894 0.67335 0.76313 0.4532 plot confusion face
face_detect_v0_m yolo 79.1G 25.9M 0.75 0.277 0.87687 0.66265 0.75114 0.44262 plot confusion face
face_detect_v0_s yolo 28.6G 11.1M 0.73 0.282 0.86932 0.63557 0.72494 0.42219 plot confusion face
face_detect_v0_n yolo 8.19G 3.01M 0.7 0.257 0.85337 0.58877 0.67471 0.38692 plot confusion face

Runs of deepghs real_face_detection on huggingface.co

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More Information About real_face_detection huggingface.co Model

real_face_detection huggingface.co

real_face_detection huggingface.co is an AI model on huggingface.co that provides real_face_detection's model effect (), which can be used instantly with this deepghs real_face_detection model. huggingface.co supports a free trial of the real_face_detection model, and also provides paid use of the real_face_detection. Support call real_face_detection model through api, including Node.js, Python, http.

real_face_detection huggingface.co Url

https://huggingface.co/deepghs/real_face_detection

deepghs real_face_detection online free

real_face_detection huggingface.co is an online trial and call api platform, which integrates real_face_detection's modeling effects, including api services, and provides a free online trial of real_face_detection, you can try real_face_detection online for free by clicking the link below.

deepghs real_face_detection online free url in huggingface.co:

https://huggingface.co/deepghs/real_face_detection

real_face_detection install

real_face_detection is an open source model from GitHub that offers a free installation service, and any user can find real_face_detection on GitHub to install. At the same time, huggingface.co provides the effect of real_face_detection install, users can directly use real_face_detection installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

real_face_detection install url in huggingface.co:

https://huggingface.co/deepghs/real_face_detection

Url of real_face_detection

real_face_detection huggingface.co Url

Provider of real_face_detection huggingface.co

deepghs
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