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---
license: apache-2.0
metrics:
- accuracy
- f1
---
Predicts face emotion based on facial image.
See https://www.kaggle.com/code/dima806/face-emotions-image-detection-vit for more details.
```
Classification report:
precision recall f1-score support
Ahegao 0.9614 0.9876 0.9743 403
Angry 0.7440 0.6219 0.6775 402
Happy 0.9100 0.9280 0.9189 403
Neutral 0.5814 0.7618 0.6595 403
Sad 0.6350 0.4318 0.5140 403
Surprise 0.7577 0.8536 0.8028 403
accuracy 0.7642 2417
macro avg 0.7649 0.7641 0.7578 2417
weighted avg 0.7649 0.7642 0.7579 2417
``` |