larsupb/ImageTagger

A simple image tagger to support a lean image tagging process

0

stars

1

commits

Python

primary language

Apr 3, 2026

updated

README

Image Tagger App

A simple image tagger which allows a lean process for tagging images. Tags are saved in .txt format whose filename corresponds to the image name. This app is powered by gradio.

Support for:

  • Masking with segementation model support
  • Tagging, including tag management, batch editing and tag deletion. Use several tagging models plus SBERT supported tag alignment.
  • Upscaling by several state of the art Super Resolution models
  • Batch preparation, including batch tagging, upscaling and mask generation

Installation

Clone repository

git clone https://github.com/larsupb/ImageTagger

Navigate into installation directory and create venv

cd ImageTagger
python -m venv venv

Activate and setup venv

source venv/bin/activate
pip install -r requirements.txt

Launch instructions

Open a console and navigate to installation directory. Run app by executing:

python main.py

Contributors

larsupb

1 commits

larsupb/ImageTagger

A simple image tagger to support a lean image tagging process

0

stars

1

commits

Python

primary language

Apr 3, 2026

updated

README

Image Tagger App

A simple image tagger which allows a lean process for tagging images. Tags are saved in .txt format whose filename corresponds to the image name. This app is powered by gradio.

Support for:

  • Masking with segementation model support
  • Tagging, including tag management, batch editing and tag deletion. Use several tagging models plus SBERT supported tag alignment.
  • Upscaling by several state of the art Super Resolution models
  • Batch preparation, including batch tagging, upscaling and mask generation

Installation

Clone repository

git clone https://github.com/larsupb/ImageTagger

Navigate into installation directory and create venv

cd ImageTagger
python -m venv venv

Activate and setup venv

source venv/bin/activate
pip install -r requirements.txt

Launch instructions

Open a console and navigate to installation directory. Run app by executing:

python main.py

Contributors

larsupb

1 commits

Languages

Python

99.7%