Comments (3)
@anirudhacharya for FER+ we relabeled the Kaggle dataset with more epople from crowd source and added Contempt. The new label is in https://github.com/Microsoft/FERPlus
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@ebarsoum So I would be right in taking these as actual labels -
{'neutral':0, 'happiness':1, 'surprise':2, 'sadness':3, 'anger':4, 'disgust':5, 'fear':6, 'contempt':7}
And taking the output as activations which need to pass through a softmax function to get the probability distribution of the different emotions?
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@anirudhacharya Yes, you will need to route the output of the model through a softmax function to get the probabilities across the 8 classes (this ferplus model uses the above 8 classes and not the original 7)
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Related Issues (20)
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