metadata

license: agpl-3.0
library_name: ultralytics
datasets:
  - wider_face
  - skytnt/anime-segmentation
tags:
  - pytorch

YOLOv8 Detection Model

Datasets

Face

Hand

Person

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
hand_yolov8n.pt	2D / realistic hand	0.767	0.505
hand_yolov8s.pt	2D / realistic hand	0.794	0.527
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)

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