KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow. observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 90
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2448
- days_rel: n/a
- days_push: 61
- n_releases_24m: 0
Adoption not part of the score
2937 stars · 266 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
DeepDanbooru is a Python/TensorFlow system that estimates Danbooru-style tags for anime-style girl images using multi-label classification. It includes a CLI for training custom projects on your own datasets and evaluating images.
Use cases
- tag anime images automatically
- estimate danbooru tags for an image
- train a multi-label image classifier on my own dataset
- auto-tag artwork for booru-style image boards
- generate tags from anime pictures for dataset labeling
When to choose
- you need Danbooru-style tag prediction for anime images
- you want to train a custom multi-label image tagging model with TensorFlow
- you want a simple CLI to evaluate images against a trained tag model
When to avoid
- you need general-purpose (non-anime) image classification
- you prefer PyTorch-based tooling
- you need a hosted GUI service rather than a local Python tool
Facets
library · maturity active
machine-learning image-processing cli machine-learning computer-vision image-processing python cross-platform cli anime-image-tagging multi-label-classification tensorflow danbooru-tags image-tag-estimation
2 sources
- readme: https://github.com/KichangKim/DeepDanbooru · fetched 2026-08-28 · b5ab184a6026
- registry_pypi: https://pypi.org/pypi/deepdanbooru/json · fetched 2026-08-29 · 1e5735bccb6d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| KichangKim/DeepDanbooru | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="KichangKim/DeepDanbooru")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem