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@@ -8,20 +8,22 @@ Returns facial emotion based on facial human image.
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  See https://www.kaggle.com/code/dima806/facial-emotions-image-detection-vit for more details.
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  ```
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  Classification report:
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  precision recall f1-score support
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- sad 0.8324 0.8540 0.8431 3595
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- disgust 0.9936 0.9981 0.9958 3595
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- angry 0.8890 0.8815 0.8852 3596
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- neutral 0.8626 0.8623 0.8625 3596
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- fear 0.8529 0.8526 0.8527 3596
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- surprise 0.9503 0.9310 0.9406 3596
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- happy 0.9271 0.9260 0.9265 3596
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- accuracy 0.9008 25170
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- macro avg 0.9011 0.9008 0.9009 25170
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- weighted avg 0.9011 0.9008 0.9009 25170
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  ```
 
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  See https://www.kaggle.com/code/dima806/facial-emotions-image-detection-vit for more details.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/LptXA-4SRuOqWf2-ZAcm-.png)
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+
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  ```
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  Classification report:
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  precision recall f1-score support
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+ sad 0.8406 0.8699 0.8550 3596
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+ disgust 0.9895 1.0000 0.9947 3596
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+ angry 0.9120 0.8996 0.9058 3596
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+ neutral 0.8736 0.8709 0.8723 3595
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+ fear 0.8851 0.8531 0.8688 3595
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+ surprise 0.9419 0.9516 0.9467 3596
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+ happy 0.9347 0.9321 0.9334 3596
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+ accuracy 0.9110 25170
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+ macro avg 0.9111 0.9110 0.9110 25170
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+ weighted avg 0.9111 0.9110 0.9110 25170
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  ```