Modelpublic

Runware/adetailer

sourceHugging Faceapache-2.0updated 11mo agoView on Hugging Face

1likes3.8kdownloads

Model Card

YOLOv8 Detection Model

Datasets

Face

Hand

—AnHDet
—hand-detection-fuao9

Person

deepfashion2

—deepfashion2

id	label
0	shortsleevedshirt
1	longsleevedshirt
2	shortsleevedoutwear
3	longsleevedoutwear
4	vest
5	sling
6	shorts
7	trousers
8	skirt
9	shortsleeveddress
10	longsleeveddress
11	vest_dress
12	sling_dress

Info

Model	Target	mAP 50	mAP 50-95
face_yolov8n.pt	2D / realistic face	0.660	0.366
faceyolov8nv2.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)<br/>0.761 (mask)	0.555 (bbox)<br/>0.460 (mask)
person_yolov8s-seg.pt	2D / realistic person	0.824 (bbox)<br/>0.809 (mask)	0.605 (bbox)<br/>0.508 (mask)
person_yolov8m-seg.pt	2D / realistic person	0.849 (bbox)<br/>0.831 (mask)	0.636 (bbox)<br/>0.533 (mask)
deepfashion2_yolov8s-seg.pt	realistic clothes	0.849 (bbox)<br/>0.840 (mask)	0.763 (bbox)<br/>0.675 (mask)

Usage

python

from huggingface_hub import hf_hub_download
from ultralytics import YOLO

path = hf_hub_download("Bingsu/adetailer", "face_yolov8n.pt")
model = YOLO(path)

python

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

Unsafe files

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