KichangKim/DeepDanbooru
AI based multi-label girl image classification system, implemented by using TensorFlow.
Implements multi-label tag prediction for anime imagery using a convolutional neural network architecture trained on Danbooru dataset metadata. Provides end-to-end tooling including dataset preparation, SQLite-based tag management, and project-level training configuration with filtering by tag frequency thresholds. Integrates with the Danbooru API for automated tag synchronization and offers both CLI inference and web deployment capabilities.
2,897 stars. No commits in the last 6 months. Available on PyPI.
Stars
2,897
Forks
269
Language
Python
License
MIT
Category
Last pushed
Aug 27, 2024
Commits (30d)
0
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/KichangKim/DeepDanbooru"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
qubvel/efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
matlab-deep-learning/Image-Classification-in-MATLAB-Using-TensorFlow
This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
AFAgarap/cnn-svm
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine...
ethanhe42/resnet-imagenet-caffe
train resnet on imagenet from scratch with caffe