🐵 Face Expression Classification using CNN 🚀

• Problem

Identifying the face expression of a human, given an image of him/her.

• Data

Data is taken from Kaggle's Facial Expression Recognition Challenge: https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data

• Evaluation

Evaluation is done based on accuracy and loss between predicted expression and actual expression.

• Features

Some information about the data:

• We're dealing with images(unstructured data), so its better we use deep learning / transfer learning.
• Dataset has 3 columns namely emotions, picture, and usage(Training/Testing).
• Dataset has 35887 rows(images).
• There are 28709 training images (with column value as Training).
• There are 3589 testing images (with column value as PublicTest).
• Dataset has 7 classes (emotions).
  • 0 -> Angry
  • 1 -> Disgust
  • 2 -> Fear
  • 3 -> Happy
  • 4 -> Sad
  • 5 -> Surprise
  • 6 -> Neutral

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💚 Developed by Parth Maniar