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real_person_detection

deepghs / real_person_detection

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Model's Last Updated: February 20 2025
object-detection

Introduction of real_person_detection

Model Details of real_person_detection

These models are trained on deepghs/anime_person_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_persons

print(detect_persons('yolo/solo.jpg'))
#[((0, 30, 398, 599), 'person', 0.926707923412323)]
print(detect_persons('yolo/2girls.jpg'))
# [((0, 74, 760, 1598), 'person', 0.7578195333480835), ((437, 33, 1200, 1600), 'person', 0.6875205039978027)]
print(detect_persons('yolo/3+cosplay.jpg'))
# [((106, 69, 347, 591), 'person', 0.8794167041778564), ((326, 14, 592, 534), 'person', 0.8018194437026978), ((167, 195, 676, 675), 'person', 0.5351650714874268)]
print(detect_persons('yolo/multiple.jpg'))
# [((1305, 441, 1891, 1534), 'person', 0.8789498805999756), ((206, 191, 932, 1533), 'person', 0.8423126935958862), ((1054, 170, 1417, 1055), 'person', 0.8138357996940613), ((697, 659, 1473, 1534), 'person', 0.7926754951477051), ((685, 247, 1128, 1526), 'person', 0.5261526703834534), ((690, 251, 1125, 1126), 'person', 0.4193646311759949)]

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
person_detect_v0_l_yv11 yolo 87.3G 25.3M 0.79 0.359 0.84037 0.74055 0.82796 0.57272 plot confusion person
person_detect_v0_m_yv11 yolo 68.2G 20.1M 0.78 0.351 0.83393 0.73614 0.82195 0.56267 plot confusion person
person_detect_v0_s_yv11 yolo 21.5G 9.43M 0.75 0.344 0.82356 0.6967 0.79224 0.52304 plot confusion person
person_detect_v0_n_yv11 yolo 6.44G 2.59M 0.71 0.325 0.80096 0.64148 0.74612 0.46875 plot confusion person
person_detect_v0_l yolo 165G 43.6M 0.79 0.359 0.83674 0.74182 0.82536 0.57022 plot confusion person
person_detect_v0_m yolo 79.1G 25.9M 0.78 0.363 0.83439 0.72529 0.81314 0.55388 plot confusion person
person_detect_v0_s yolo 28.6G 11.1M 0.76 0.346 0.82522 0.69696 0.79105 0.52201 plot confusion person
person_detect_v0_n yolo 8.19G 3.01M 0.72 0.32 0.80883 0.64552 0.74996 0.47272 plot confusion person

Runs of deepghs real_person_detection on huggingface.co

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More Information About real_person_detection huggingface.co Model

real_person_detection huggingface.co

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

real_person_detection huggingface.co Url

https://huggingface.co/deepghs/real_person_detection

deepghs real_person_detection online free

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

deepghs real_person_detection online free url in huggingface.co:

https://huggingface.co/deepghs/real_person_detection

real_person_detection install

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

real_person_detection install url in huggingface.co:

https://huggingface.co/deepghs/real_person_detection

Url of real_person_detection

real_person_detection huggingface.co Url

Provider of real_person_detection huggingface.co

deepghs
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