# High-precision facial expression recognition
Vit Facial Expression Recognition
A facial expression recognition model based on ViT architecture, fine-tuned on the imagefolder dataset with an accuracy of 91.77%
Face-related
Transformers

V
Alpiyildo
581
1
Facial Expression Detection
A facial expression recognition model fine-tuned based on a pre-trained model, which can effectively recognize eight different facial expressions.
Face-related
Transformers

F
HardlyHumans
1,266
1
Vit Facial Expression Recognition
A ViT-based facial expression recognition model fine-tuned on FER2013, MMI, and AffectNet datasets, capable of recognizing seven basic emotions
Face-related
Transformers

V
motheecreator
4,221
13
Vit Facial Expression Recognition
ViT-based facial expression recognition model, fine-tuned on FER2013, MMI, and AffectNet datasets, supporting seven emotion classifications
Face-related
Transformers

V
mo-thecreator
8,730
16
Resnet 50 Finetuned FER2013 0.003 CKPlus
Apache-2.0
Facial expression recognition model fine-tuned based on ResNet-50 architecture, trained on FER2013 and CKPlus datasets
Face-related
Transformers

R
Celal11
29
0
Beit Base Patch16 224 Pt22k Ft22k Finetuned FER2013CKPlus 7e 05
Apache-2.0
This is an image classification model based on the BEiT architecture, fine-tuned on the FER2013 and CK+ datasets for facial expression recognition tasks.
Image Classification
Transformers

B
Celal11
19
0
Facialemorecog
MIT
A PyTorch-based facial emotion recognition model trained on the FER2013 dataset with an accuracy of 91.9%.
Face-related
Transformers English

F
Rajaram1996
628
23
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