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iFace - Facial Attribute Recognition Demo App

Description

iFace is a demo iOS app that showcases a Facial Attribute Recognition machine learning model. The app enables users to align their face with the camera view, upon which the model analyzes and determines their facial attributes. The process can be halted by double-tapping on the camera view.

Features

  • Capture real-time data from the camera
  • Predict various facial attributes using the machine learning model
  • Display the predicted attributes

Installation

  1. Clone the repository from GitHub:

    git clone https://github.com/your-username/your-repo.git

  2. Open the project in Xcode:

    cd iFace
open iFace.xcodeproj

  3. Build and run the app on the iOS Simulator or your physical device.

Usage

  1. Launch the app on your iOS device.
  2. Position your face within the circle.
  3. Wait for the app to process the image and predict the facial attributes.
  4. View the predicted attributes.
  5. Stop predictions with a double-tap on the camera view.

Model

The Facial Attribute Recognition machine learning model used in this app is available on GitHub.

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Contact

For any questions or inquiries, please contact me at zsomborszenyan@edu.bme.hu.