Nirman
Bingsu

Bingsu/adetailer

No description available.

Model Documentation

YOLOv8 Detection Model



Datasets



Face



  • Anime Face CreateML
  • xml2txt
  • AN
  • wider face


    • Hand



  • AnHDet
  • hand-detection-fuao9


    • Person



  • coco2017 (only person)
  • AniSeg
  • skytnt/anime-segmentation


    • 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



    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


    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

    Files & Weights

    FilenameSizeAction
    deepfashion2_yolov8s-seg.pt 0.02 GB
    face_yolov8m.pt 0.05 GB
    face_yolov8n.pt 0.01 GB
    face_yolov8n_v2.pt 0.01 GB
    face_yolov8s.pt 0.02 GB
    face_yolov9c.pt 0.05 GB
    hand_yolov8n.pt 0.01 GB
    hand_yolov8s.pt 0.02 GB
    hand_yolov9c.pt 0.05 GB
    person_yolov8m-seg.pt 0.05 GB
    person_yolov8n-seg.pt 0.01 GB
    person_yolov8s-seg.pt 0.02 GB