jhc13/taggui
Cross-platform desktop application for tagging and captioning images to build datasets for training generative AI models.
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TagGUI is a desktop application that helps creators manage and annotate image datasets for training generative AI models. It provides keyboard-friendly tagging, autocomplete from frequently used tags, and integrates with Stable Diffusion token counting. The application also supports automatic caption and tag generation using AI vision models including CogVLM, Florence-2, and LLaVA. Tags and captions are stored in text files alongside images, making datasets ready for training pipelines.
Frequently asked
- What is jhc13/taggui?
- Cross-platform desktop application for tagging and captioning images to build datasets for training generative AI models.
- Is taggui open source?
- Yes — jhc13/taggui is open source, released under the GPL-3.0 license.
- What language is taggui written in?
- jhc13/taggui is primarily written in Python.
- How popular is taggui?
- jhc13/taggui has 1.3k stars on GitHub.
- Where can I find taggui?
- jhc13/taggui is on GitHub at https://github.com/jhc13/taggui.