Welcome to the LibreYOLO Articles Section
LibreYOLO Team
Welcome to the new articles section of the LibreYOLO website! This is where we will publish tutorials, release announcements, and technical deep dives about the project.
What is LibreYOLO?
LibreYOLO is an MIT-licensed training and inference engine for state-of-the-art YOLO object detection models. Unlike AGPL-licensed alternatives, you can use it freely in proprietary, closed-source commercial applications.
Getting started takes just a few lines of Python:
from libreyolo import LibreYOLO, SAMPLE_IMAGE
model = LibreYOLO("LibreYOLOXs.pt")
results = model(SAMPLE_IMAGE, save=True)
What to expect here
- Tutorials: step-by-step guides for training, exporting, and deploying models
- Release notes: what's new in each LibreYOLO version
- Deep dives: explainability, architecture details, and benchmarks
Stay in touch
Check out the documentation, browse the model zoo, or star the project on GitHub.