---
license: apache-2.0
metrics:
- accuracy
- f1
---
Returns facial emotion based on facial human image.

See https://www.kaggle.com/code/dima806/facial-emotions-image-detection-vit for more details.

```
Classification report:

              precision    recall  f1-score   support

         sad     0.7948    0.7948    0.7948      1798
     disgust     0.9923    0.9983    0.9953      1798
       angry     0.8390    0.8576    0.8482      1798
     neutral     0.8141    0.8381    0.8259      1797
        fear     0.8134    0.7953    0.8043      1798
    surprise     0.9421    0.9227    0.9323      1798
       happy     0.9272    0.9132    0.9201      1798

    accuracy                         0.8743     12585
   macro avg     0.8747    0.8743    0.8744     12585
weighted avg     0.8747    0.8743    0.8744     12585
```