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Identifying Facial Expressions using Machine Learning

Instructions

Using Docker

  1. make build: Ensure that you have the right docker image.

  2. make: Run the container.

  3. q: Quit the program.

Using Python and dependencies

  1. Make sure all dependencies are installed (listed in ./res/docker/requirements.txt).

  2. python ./src/run.py

Dataset

Challenges in Representation Learning: Facial Expression Recognition Challenge

Emotion Code
Angry 0
Disgust 1
Fear 2
Happy 3
Sad 4
Surprise 5
Neutral 6

This dataset consists 48x48 pixel grayscale images of faces.

train.csv contains two columns, "emotion" and "pixels". The "emotion" column contains a numeric code ranging from 0 to 6, inclusive, for the emotion that is present in the image.

Total samples: 32,298

  • Training: 28,709 samples.
  • Testing: 3,589

Credit and Resources