# Lightweight Backbone Network
Rdnet Tiny.nv In1k
Bsd-3-clause
A lightweight RDNet image classification model trained on the ImageNet-1k dataset, with 24M parameters and 82.8% top-1 accuracy.
Image Classification
R
naver-ai
1,942
5
Retinaface
MIT
RetinaFace is a lightweight face detection model based on MobileNet or ResNet50 backbone networks, capable of efficiently locating faces and providing facial keypoint coordinates.
Face-related English
R
py-feat
39
1
Vit Small Patch8 224.dino
Apache-2.0
Self-supervised image feature extraction model based on Vision Transformer (ViT), trained using the DINO method
Image Classification
Transformers

V
timm
8,904
2
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