metadata
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 0.9767 0.9876 0.9821 1611
Angry 0.8219 0.6019 0.6949 1610
Happy 0.8939 0.9255 0.9094 1611
Neutral 0.6097 0.7778 0.6836 1611
Sad 0.6404 0.5053 0.5649 1611
Surprise 0.7595 0.8783 0.8146 1611
accuracy 0.7794 9665
macro avg 0.7837 0.7794 0.7749 9665
weighted avg 0.7837 0.7794 0.7749 9665