Face-Tagger Organization

Welcome to the Face-Tagger Organization. We specialize in facial recognition and image classification, aiming to provide seamless solutions for classifying photos containing specific individuals from a collection of images. Our core components consist of the facetagger-lib library and its web-based frontend sample, facetagger-fe.

Repositories

1. facetagger-lib

Face Tagger Library is a Python package designed for robust face recognition and photo classification.

• Key Features:

  • Identify and differentiate faces in multiple images.
  • Group photos based on identified individuals.
  • Optimized performance with GPU acceleration.
  • Simple APIs for integration into various applications.

• Installation:

  pip install face-tagger

• Usage: Start by loading images, initializing the Face Tagger, and classifying images. Check out the detailed guide here.

• Contributing: We welcome contributions! Please review the contribution guide for more details.

• License: MIT

2. facetagger-fe

FaceTagger-FE offers a web-based frontend sample to showcase the capabilities of the FaceTagger library.

• Key Features:

  • Seamless navigation using react-router-dom.
  • User authentication for accessing the service.
  • Drag & drop interface for image uploads.
  • Real-time grouping & image classification display.

• Getting Started: Experience the frontend by cloning the repository, installing dependencies, and launching the sample. See detailed steps.

• License: MIT

Contact & Support

For issues, suggestions, or feature requests, kindly raise an issue in the respective repository.