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SegsmakerAdetailer

activation text string	description string	sd version string	modelId int64	sha256 string
	Thanks to sp00ns' guide:Training a Custom Adetailer Model \| Civitai https://civitai.com/articles/1224/training-a-custom-adetailer-modelI created a custom foot model using yolov8x.The foot model that sp00ns provided was helpful, but I wanted to see about making my own.ComfyUI Workflow:I know a lot of you use ComfyUI, an...	Other	257,904	9F39F32AB83B43002CA466605603B6C6DCFF124ECFB23DAB1C74C36ECB95CB4B

YOLOv8 Detection Model

Datasets

Face

Hand

Person

deepfashion2

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

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.

Downloads last month: 219

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Total file size:

631 MB