Upload and tag
The web UI makes it easy to upload large batches of photos, preview what is being processed, and choose the output folder for tagged results.
Yearbook tagging, refined.
A smarter way to recognize students.
Student Tagger helps yearbook teams identify student faces across photoshoots, events, and candid moments so every photo can be organized with less manual searching.
Scanning photo 1
Original photo
Recognition
Find the right student in seconds.
Student Tagger is designed for yearbook workflows, saving editors time with a friendly UI that makes student tagging clear, simple, and easy to review.
Output management
Easy output management.
The results are listed and sorted into folders, making every tagged batch easy to review and organize.
The output folders are easy to access, so yearbook editors can quickly find the photos they need after processing.
Code
Built with a simple full-stack structure.
Student Tagger uses Python in the backend with a face recognition repository handling the recognition logic, while the frontend is built with HTML to keep the interface clear and easy to use.
- Python backend
- Face recognition repo integration
- HTML frontend interface
Prerequisites
- Python
- Python packages fastapi, uvicorn, jinja2, python-multipart, Pillow, numpy, setuptools<82, dlib-bin on Windows, dlib on non-Windows, face_recognition_models
Next steps
Things to work on.
Student Tagger already shows the main idea, but there are important improvements that can make it more accurate and useful for yearbook teams.
Improve accuracy
Refine the recognition process so the app can identify students more reliably across different lighting, angles, expressions, and photo quality. Right now, recognized faces are based on one directory photo for each student, so there is room to improve.
Add more features
Add tools like recognizing any face on the user's screen, making Student Tagger useful beyond uploaded photo batches.
Track photo data
Record how many photos each student appears in and automatically recommend strong photo options for each student.
Go online
Move Student Tagger online so photo data can be shared with the whole yearbook group and connected to the yearbook website.
Coming soon
Packaged app for macOS and Windows.
Student Tagger will be available soon as packaged desktop versions for macOS and Windows, with no prerequisites needed and quick access for everyone on the yearbook team.