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Dnbr Tagger Preview1
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Dnbr Tagger Preview1

Developed by gustproof
A lightweight multi-label image classifier trained on a subset of the Danbooru2023 dataset, trained on approximately 40 million samples at 238x238 resolution, performing excellently among models of similar size.
Image ClassificationOpen Source License:Apache-2.0#Anime Image Multi-label Classification#Lightweight Efficient Model#Danbooru Dataset Optimization
Downloads 132
Release Time : 5/2/2025

Model Overview

This model is an efficient multi-label image classifier, specifically optimized for anime-style images, capable of recognizing multiple tags in an image simultaneously.

Model Features

Lightweight and Efficient
Optimized model size, reducing computational resource requirements while maintaining good performance.
Multi-label Classification
Capable of recognizing multiple tags in an image simultaneously, suitable for complex scene analysis.
Anime Image Optimization
Specifically optimized for anime-style images in the Danbooru dataset.

Model Capabilities

Image Multi-label Classification
Anime Style Recognition
Efficient Inference

Use Cases

Content Tagging
Automatic Anime Image Tagging
Automatically generate descriptive tags for anime-style images.
Can accurately identify multiple tags such as character features and scene elements.
Content Filtering
NSFW Content Detection
Identify potentially inappropriate content in images.
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