LibreYOLO
MIT-licensed open-source computer vision.
Inference and training for a wide range of detection models, behind one familiar Python and CLI interface.
What is LibreYOLO?
LibreYOLO is an MIT-licensed computer vision library with inference and training support for a variety of models. It provides a familiar high-level Python and CLI interface and reads common YOLO-format datasets, so existing workflows port over with minimal changes. There is no AGPL anywhere in the dependency chain, so you can use it in closed-source or commercial products.
from libreyolo import LibreYOLO, SAMPLE_IMAGE
model = LibreYOLO("LibreYOLO9t.pt")
result = model(SAMPLE_IMAGE, save=True)
The flagship families are YOLOv9 (CNN) and RF-DETR (transformer) for detection and segmentation. The weights hosted in this organization auto-download on first use.
Try it in your browser
No install required. Run detection, segmentation, pose, and depth on your own images in the live demo:
Links
Website · GitHub · Hugging Face · Benchmarks (Vision Analysis) · LinkedIn · Reddit
MIT-licensed open-source computer vision. If you find it useful, a ⭐ on GitHub helps a lot.