Facial landmark prediction using deep learning
Sayak Paul
Kolkata, West Bengal
- 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
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.