Bingsu / adetailer

huggingface.co
Total runs: 9.7M
24-hour runs: 26.3K
7-day runs: 33.3K
30-day runs: -799.2K
Model's Last Updated: November 21 2024

Introduction of adetailer

Model Details of adetailer

YOLOv8 Detection Model

Datasets
Face
Hand
Person
deepfashion2
id label
0 short_sleeved_shirt
1 long_sleeved_shirt
2 short_sleeved_outwear
3 long_sleeved_outwear
4 vest
5 sling
6 shorts
7 trousers
8 skirt
9 short_sleeved_dress
10 long_sleeved_dress
11 vest_dress
12 sling_dress
Info
Model Target mAP 50 mAP 50-95
face_yolov8n.pt 2D / realistic face 0.660 0.366
face_yolov8n_v2.pt 2D / realistic face 0.669 0.372
face_yolov8s.pt 2D / realistic face 0.713 0.404
face_yolov8m.pt 2D / realistic face 0.737 0.424
face_yolov9c.pt 2D / realistic face 0.748 0.433
hand_yolov8n.pt 2D / realistic hand 0.767 0.505
hand_yolov8s.pt 2D / realistic hand 0.794 0.527
hand_yolov9c.pt 2D / realistic hand 0.810 0.550
person_yolov8n-seg.pt 2D / realistic person 0.782 (bbox)
0.761 (mask)
0.555 (bbox)
0.460 (mask)
person_yolov8s-seg.pt 2D / realistic person 0.824 (bbox)
0.809 (mask)
0.605 (bbox)
0.508 (mask)
person_yolov8m-seg.pt 2D / realistic person 0.849 (bbox)
0.831 (mask)
0.636 (bbox)
0.533 (mask)
deepfashion2_yolov8s-seg.pt realistic clothes 0.849 (bbox)
0.840 (mask)
0.763 (bbox)
0.675 (mask)
Usage
from huggingface_hub import hf_hub_download
from ultralytics import YOLO

path = hf_hub_download("Bingsu/adetailer", "face_yolov8n.pt")
model = YOLO(path)
import cv2
from PIL import Image

img = "https://farm5.staticflickr.com/4139/4887614566_6b57ec4422_z.jpg"
output = model(img)
pred = output[0].plot()
pred = cv2.cvtColor(pred, cv2.COLOR_BGR2RGB)
pred = Image.fromarray(pred)
pred

image

Unsafe files

image

Since getattr is classified as a dangerous pickle function, any segmentation model that uses it is classified as unsafe.

All models were created and saved using the official ultralytics library, so it's okay to use files downloaded from a trusted source.

See also: https://huggingface.co/docs/hub/security-pickle

Runs of Bingsu adetailer on huggingface.co

9.7M
Total runs
26.3K
24-hour runs
64.3K
3-day runs
33.3K
7-day runs
-799.2K
30-day runs

More Information About adetailer huggingface.co Model

More adetailer license Visit here:

https://choosealicense.com/licenses/apache-2.0

adetailer huggingface.co

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

adetailer huggingface.co Url

https://huggingface.co/Bingsu/adetailer

Bingsu adetailer online free

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

Bingsu adetailer online free url in huggingface.co:

https://huggingface.co/Bingsu/adetailer

adetailer install

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

adetailer install url in huggingface.co:

https://huggingface.co/Bingsu/adetailer

Url of adetailer

adetailer huggingface.co Url

Provider of adetailer huggingface.co

Bingsu
ORGANIZATIONS

Other API from Bingsu

huggingface.co

Total runs: 137
Run Growth: 93
Growth Rate: 67.88%
Updated:August 04 2023
huggingface.co

Total runs: 23
Run Growth: 16
Growth Rate: 69.57%
Updated:November 28 2022
huggingface.co

Total runs: 7
Run Growth: 2
Growth Rate: 28.57%
Updated:January 02 2023
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 16 2023