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---
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 0.8324 0.8540 0.8431 3595
disgust 0.9936 0.9981 0.9958 3595
angry 0.8890 0.8815 0.8852 3596
neutral 0.8626 0.8623 0.8625 3596
fear 0.8529 0.8526 0.8527 3596
surprise 0.9503 0.9310 0.9406 3596
happy 0.9271 0.9260 0.9265 3596
accuracy 0.9008 25170
macro avg 0.9011 0.9008 0.9009 25170
weighted avg 0.9011 0.9008 0.9009 25170
``` |