Facial landmark prediction using deep learning

Sayak Paul

Sayak Paul

Kolkata, West Bengal

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  • 0 Collaborators

This project uses deep learning to predict facial landmarks. It uses TensorFlow 2.0 and imgaug as the main Python libraries. ...learn more

Project status: Under Development

Artificial Intelligence

Intel Technologies
Intel Python

Overview / Usage

The objective of this task is to predict keypoint positions on face images. This can be used as a building block in several applications, such as:

  • tracking faces in images and video
  • analysing facial expressions
  • detecting dysmorphic facial signs for medical diagnosis
  • biometrics / face recognition

Methodology / Approach

I primarily used deep learning in this project. The data was limited so I used data augmentation but traditional data augmentation techniques won't work here because they might not change the landmarks of the augmented images accordingly. To resolve this issue I used `imgaug`. Forr deep learning-related tasks, I used the high-level library of TensorFlow - Keras.

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