



# metrics:
# - accuracy

# model-index:
# - name: FacialEmoRecog
#  results:
 # - task:
  #    name: Image Classification
 #     type: image-classification
 # - metrics:
 #     name: Accuracy
  #    type: accuracy
   #   value: 0.9189583659172058

# FacialEmoRecog 
Create your own image classifier for **anything** by running this repo  

 ## Example Images
anger contempt disgust fear happy neutral sadness surprise