Yolov11 Python Packages

yolo-mslesseg

End-to-end pipeline for the automatic segmentation and evaluation of multiple sclerosis lesions in MRI images, built upon YOLOv11n-seg.

yolomosaic

A Python library for visualizing YOLO detections and segmented instances on large orthomosaic images, with the ability to generate shapefiles for GIS integration

uitag

Set-of-Mark detection pipeline for macOS — Apple Vision, YOLO11, and VLM on MLX. Transforms screenshots into numbered element maps and structured JSON manifests.

somflow

This package has been renamed to uitag. Run: pip install uitag

hawkeyezero

Hawkeye-Zero - special trained model to detect 11 diffrent types of space debris. The idea wasn’t to build a perfect system — just to explore how far object detection can go in real-world space debris applications. Also very important thing was to care about easy and quick access to use model functions and data, so I've created special structure for this project to allowed developers to use model in diffrent environments in API's or as a simple python tool.

usls

A Rust library integrated with ONNXRuntime, providing a collection of Computer Vison and Vision-Language models such as YOLO, FastVLM, and more.