Downloads · 30 days
0
hysts/anime-face-detector-faster-rcnn
anime-face-detector-faster-rcnn is a object detection model from hysts. Use it when you need objects located in an image. It is set up for anime-face-detector. The card lists the license as mit.
An anime face detector (Faster R-CNN with a ResNet-50 FPN backbone), one of the pretrained models of hysts/anime-face-detector. It detects near-frontal anime faces and is used together with anime-face-detector-hrnetv2…
Downloads · 30 days
0
Access
Public
Updated Jul 5, 2026
Parameters
41.4M
166 MB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors166 MB · 100%
From the Hugging Face model README
An anime face detector (Faster R-CNN with a ResNet-50 FPN backbone), one of the pretrained models of hysts/anime-face-detector. It detects near-frontal anime faces and is used together with anime-face-detector-hrnetv2 for 28-point facial landmark estimation.
The model was trained by hysts in 2021 using mmdetection. model.safetensors contains the exact weights of the original release (mmdet_anime-face_faster-rcnn.pth, v0.0.1); the source file name and its sha256 are recorded in the safetensors metadata. Since v0.1.0 the anime-face-detector package runs this model in plain PyTorch, without the mmdetection runtime.
pip install anime-face-detector
import cv2
from anime_face_detector import create_detector
detector = create_detector("faster-rcnn")
image = cv2.imread("input.jpg")
preds = detector(image) # bounding boxes and 28 landmark points per face
The weights are released under the MIT License, like the code in the GitHub repository. They were trained by hysts; as stated in the license, they are provided as is, without warranty of any kind, including with respect to the provenance of the training data.