Face Shape Detection

Around age 17, I attempted to come up with a way to accurately detect the shape of a person’s face. Right now beauty experts use loose guidelines such as the width of the forehead, or the sharpness of the chin to roughly classify a face shape. Here is my process of determining the shape of a person’s face.


The human face can be broadly classified into 4 major types. Ofcourse there are plenty of variations because each person is unique. The major face shape categories are:

  • Square
  • Heart
  • Oval
  • Round


Create a model which is trained using celebrity images for each face shape. These will act as benchmarks.

Square Face:

  • Billie Piper
  • Demi Moore
  • Jennifer Aniston
  • Katie Holmes
  • Kelly Osborne
  • Renee Zellweger
  • Sandra Bullock

Heart Face:

  • Cheryl Cole
  • Eva Longoria-Parker
  • Gwyneth Paltrow
  • Mary-Kate Olsen
  • Naomi Campbell
  • Nicole Richie
  • Reese Witherspoon

Oval Face:

  • Cameron Diaz
  • Charlize Theron
  • Cindy Crawford
  • Courtney Cox
  • Elle Macpherson
  • Julia Roberts
  • Rihanna

Round Face:

  • Drew Barrymore
  • Ginnifer Goodwin
  • Hayden Panettiere
  • Isla Fisher
  • Kate Bosworth
  • Mila Kunis

Finally, feed the user’s image into the newly trained model. The shape with the highest probability is the user’s face shape.

Implementing Deep Learning

Neural Network Used: CNN

Neurons in output layer: 4


The demo app can be found on github:



To learn more about the dataset, click the button below:


Square face shape:


Heart face shape:


Oval face shape:


Round face shape:



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