Image Feature Extraction
MLX
English
data-label-factory
vision
dataset-labeling
object-detection
apple-silicon
gemma
falcon-perception
openrouter
yolo
Instructions to use waltgrace/data-label-factory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use waltgrace/data-label-factory with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir data-label-factory waltgrace/data-label-factory
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| """Compatibility shim for older pip versions that can't read pyproject.toml.""" | |
| from setuptools import setup, find_packages | |
| setup( | |
| name="data-label-factory", | |
| version="0.2.0", | |
| description="Generic auto-labeling pipeline for vision datasets.", | |
| packages=find_packages(), | |
| python_requires=">=3.9", | |
| install_requires=[ | |
| "pyyaml>=6.0", | |
| "pillow>=9.0", | |
| "requests>=2.28", | |
| ], | |
| entry_points={ | |
| "console_scripts": [ | |
| "data_label_factory=data_label_factory.cli:main", | |
| "data-label-factory=data_label_factory.cli:main", | |
| ], | |
| }, | |
| ) | |