Image Classification
timm
TensorBoard
vision
facial-expression-recognition
vit
vision-transformer
fer
ferplus
Instructions to use peepeeyanto/ViTFERPP_vit_small_patch16_224.augreg_in1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use peepeeyanto/ViTFERPP_vit_small_patch16_224.augreg_in1k with timm:
import timm model = timm.create_model("hf_hub:peepeeyanto/ViTFERPP_vit_small_patch16_224.augreg_in1k", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| Class,Class_ID,Precision,Recall,F1-Score | |
| happy,3,0.918699,0.937759,0.928131 | |
| surprise,6,0.87931,0.796875,0.836066 | |
| angry,0,0.815789,0.849315,0.832215 | |
| sad,5,0.86875,0.727749,0.792023 | |
| neutral,4,0.724014,0.87069,0.790607 | |
| fear,2,0.647059,0.5,0.564103 | |
| disgust,1,0.606557,0.506849,0.552239 | |