szmarkiewicz / UTKFace_Age_Regression

Face recognition web application with age and gender prediction. Semester project for the Introduction to Machine Learning course @ WUT.

Face recognition web app with age and gender prediction

The main goal of the project is to estimate age of a person based on image. During the course of development we have implemented gender detection model, although its evaluation was abandoned due to insatisfactory results. In the project UTKFace datasets are used for model training. (https://susanqq.github.io/UTKFace/)

Different approaches:

1. Convolutional Neural Networks
2. Transfer Learning with ResNet architecture
3. Transfer Learning with MobileNet architecture

The application itself may process the face of the person in real time by analyzing the camera input of the user, an image or a video. All use cases are present and selectable in the GUI.

Django web app root:

face_rec_project/

Dataset analysis:

dataset_descriptive_statistics.ipynb

Convolutiona neural networks:

/cnn/utk_age_cnn.ipynb

MobileNet and ResNet architectures:

/transfer_learning/Tranfer_learning_models_and_testing.ipynb

Documentation:

/machine_learning_report.pdf