deepghs/real_face_detection

By deepghs · ↓ 0 · ♥ 2 · Updated 2025-02-21

What's in this repo

This page lists the files in deepghs/real_face_detection, including model.onnx and more.

10 ONNX models (.onnx files)
162 files, including 70 .png, 30 .json, 20 .jpg, 10 .0, 10 .onnx, 10 .pt
Last updated 2025-02-21

ONNX files

File	Size	Download
face_detect_v0_l/model.onnx	—	Download
face_detect_v0_l_yv11/model.onnx	—	Download
face_detect_v0_m/model.onnx	—	Download
face_detect_v0_m_yv11/model.onnx	—	Download
face_detect_v0_n/model.onnx	—	Download
face_detect_v0_n_yv11/model.onnx	—	Download
face_detect_v0_n_yv12/model.onnx	—	Download
face_detect_v0_s/model.onnx	—	Download
face_detect_v0_s_yv11/model.onnx	—	Download
face_detect_v0_s_yv12/model.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

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`

Model info

object-detection dghs-imgutils

dghs-imgutils tensorboard onnx art anime photo face object-detection dataset:deepghs/real_face_detection dataset:deepghs/anime_face_detection region:us

↓ 0 ♥ 2

Created: 2025-02-06

Updated: 2025-02-21

View on Hugging Face

Files (162)

.gitattributes

README.md

face_detect_v0_l/F1_curve.png

face_detect_v0_l/PR_curve.png

face_detect_v0_l/P_curve.png

face_detect_v0_l/R_curve.png

face_detect_v0_l/confusion_matrix.png

face_detect_v0_l/confusion_matrix_normalized.png

face_detect_v0_l/events.out.tfevents.1738779723.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.3155866.0

face_detect_v0_l/labels.jpg

face_detect_v0_l/labels.json

face_detect_v0_l/labels_correlogram.jpg

face_detect_v0_l/model.onnx ONNX

face_detect_v0_l/model.pt

face_detect_v0_l/model_type.json

face_detect_v0_l/results.csv

face_detect_v0_l/results.png

face_detect_v0_l/threshold.json

face_detect_v0_l_yv11/F1_curve.png

face_detect_v0_l_yv11/PR_curve.png

face_detect_v0_l_yv11/P_curve.png

face_detect_v0_l_yv11/R_curve.png

face_detect_v0_l_yv11/confusion_matrix.png

face_detect_v0_l_yv11/confusion_matrix_normalized.png

face_detect_v0_l_yv11/events.out.tfevents.1738787854.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.2342397.0

face_detect_v0_l_yv11/labels.jpg

face_detect_v0_l_yv11/labels.json

face_detect_v0_l_yv11/labels_correlogram.jpg

face_detect_v0_l_yv11/model.onnx ONNX

face_detect_v0_l_yv11/model.pt

face_detect_v0_l_yv11/model_type.json

face_detect_v0_l_yv11/results.csv

face_detect_v0_l_yv11/results.png

face_detect_v0_l_yv11/threshold.json

face_detect_v0_m/F1_curve.png

face_detect_v0_m/PR_curve.png

face_detect_v0_m/P_curve.png

face_detect_v0_m/R_curve.png

face_detect_v0_m/confusion_matrix.png

face_detect_v0_m/confusion_matrix_normalized.png

face_detect_v0_m/events.out.tfevents.1738772374.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.3036509.0

face_detect_v0_m/labels.jpg

face_detect_v0_m/labels.json

face_detect_v0_m/labels_correlogram.jpg

face_detect_v0_m/model.onnx ONNX

face_detect_v0_m/model.pt

face_detect_v0_m/model_type.json

face_detect_v0_m/results.csv

face_detect_v0_m/results.png

face_detect_v0_m/threshold.json

face_detect_v0_m_yv11/F1_curve.png

face_detect_v0_m_yv11/PR_curve.png

face_detect_v0_m_yv11/P_curve.png

face_detect_v0_m_yv11/R_curve.png

face_detect_v0_m_yv11/confusion_matrix.png

face_detect_v0_m_yv11/confusion_matrix_normalized.png

face_detect_v0_m_yv11/events.out.tfevents.1738776765.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.2155639.0

face_detect_v0_m_yv11/labels.jpg

face_detect_v0_m_yv11/labels.json

face_detect_v0_m_yv11/labels_correlogram.jpg

face_detect_v0_m_yv11/model.onnx ONNX

face_detect_v0_m_yv11/model.pt

face_detect_v0_m_yv11/model_type.json

face_detect_v0_m_yv11/results.csv

face_detect_v0_m_yv11/results.png

face_detect_v0_m_yv11/threshold.json

face_detect_v0_n/F1_curve.png

face_detect_v0_n/PR_curve.png

face_detect_v0_n/P_curve.png

face_detect_v0_n/R_curve.png

face_detect_v0_n/confusion_matrix.png

face_detect_v0_n/confusion_matrix_normalized.png

face_detect_v0_n/events.out.tfevents.1738769354.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.2987077.0

face_detect_v0_n/labels.jpg

face_detect_v0_n/labels.json

face_detect_v0_n/labels_correlogram.jpg

face_detect_v0_n/model.onnx ONNX

face_detect_v0_n/model.pt

face_detect_v0_n/model_type.json

face_detect_v0_n/results.csv

face_detect_v0_n/results.png

face_detect_v0_n/threshold.json

face_detect_v0_n_yv11/F1_curve.png

face_detect_v0_n_yv11/PR_curve.png

face_detect_v0_n_yv11/P_curve.png

face_detect_v0_n_yv11/R_curve.png

face_detect_v0_n_yv11/confusion_matrix.png

face_detect_v0_n_yv11/confusion_matrix_normalized.png

face_detect_v0_n_yv11/events.out.tfevents.1738769495.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.2029186.0

face_detect_v0_n_yv11/labels.jpg

face_detect_v0_n_yv11/labels.json

face_detect_v0_n_yv11/labels_correlogram.jpg

face_detect_v0_n_yv11/model.onnx ONNX

face_detect_v0_n_yv11/model.pt

face_detect_v0_n_yv11/model_type.json

face_detect_v0_n_yv11/results.csv

face_detect_v0_n_yv11/results.png

face_detect_v0_n_yv11/threshold.json

face_detect_v0_n_yv12/F1_curve.png

face_detect_v0_n_yv12/PR_curve.png

face_detect_v0_n_yv12/P_curve.png

face_detect_v0_n_yv12/R_curve.png

face_detect_v0_n_yv12/confusion_matrix.png

face_detect_v0_n_yv12/confusion_matrix_normalized.png

face_detect_v0_n_yv12/events.out.tfevents.1740109002.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.2806465.0

face_detect_v0_n_yv12/labels.jpg

face_detect_v0_n_yv12/labels.json

face_detect_v0_n_yv12/labels_correlogram.jpg

face_detect_v0_n_yv12/model.onnx ONNX

face_detect_v0_n_yv12/model.pt

face_detect_v0_n_yv12/model_type.json

face_detect_v0_n_yv12/results.csv

face_detect_v0_n_yv12/results.png

face_detect_v0_n_yv12/threshold.json

face_detect_v0_s/F1_curve.png

face_detect_v0_s/PR_curve.png

face_detect_v0_s/P_curve.png

face_detect_v0_s/R_curve.png

face_detect_v0_s/confusion_matrix.png

face_detect_v0_s/confusion_matrix_normalized.png

face_detect_v0_s/events.out.tfevents.1738722581.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.2211296.0

face_detect_v0_s/labels.jpg

face_detect_v0_s/labels.json

face_detect_v0_s/labels_correlogram.jpg

face_detect_v0_s/model.onnx ONNX

face_detect_v0_s/model.pt

face_detect_v0_s/model_type.json

face_detect_v0_s/results.csv

face_detect_v0_s/results.png

face_detect_v0_s/threshold.json

face_detect_v0_s_yv11/F1_curve.png

face_detect_v0_s_yv11/PR_curve.png

face_detect_v0_s_yv11/P_curve.png

face_detect_v0_s_yv11/R_curve.png

face_detect_v0_s_yv11/confusion_matrix.png

face_detect_v0_s_yv11/confusion_matrix_normalized.png

face_detect_v0_s_yv11/events.out.tfevents.1738772781.74aa4261331bbcab0987b94433af8ac622a654e7594a46e49f97167a.2086780.0

face_detect_v0_s_yv11/labels.jpg

face_detect_v0_s_yv11/labels.json

face_detect_v0_s_yv11/labels_correlogram.jpg

face_detect_v0_s_yv11/model.onnx ONNX

face_detect_v0_s_yv11/model.pt

face_detect_v0_s_yv11/model_type.json

face_detect_v0_s_yv11/results.csv

face_detect_v0_s_yv11/results.png

face_detect_v0_s_yv11/threshold.json

face_detect_v0_s_yv12/F1_curve.png

face_detect_v0_s_yv12/PR_curve.png

face_detect_v0_s_yv12/P_curve.png

face_detect_v0_s_yv12/R_curve.png

face_detect_v0_s_yv12/confusion_matrix.png

face_detect_v0_s_yv12/confusion_matrix_normalized.png

face_detect_v0_s_yv12/events.out.tfevents.1740122353.dbd7b05c6be69b3cad7adc4be45b0f3ae9bfa42b4e0c6f4f253fe7cb.3025198.0

face_detect_v0_s_yv12/labels.jpg

face_detect_v0_s_yv12/labels.json

face_detect_v0_s_yv12/labels_correlogram.jpg

face_detect_v0_s_yv12/model.onnx ONNX

face_detect_v0_s_yv12/model.pt

face_detect_v0_s_yv12/model_type.json

face_detect_v0_s_yv12/results.csv

face_detect_v0_s_yv12/results.png

face_detect_v0_s_yv12/threshold.json

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