Annotation Conversion Python Packages

hbb2obb

🔄 Converts horizontal bounding boxes into oriented (rotated) boxes by prompting SAM-family models. Includes model ensembling, confidence scoring, evaluation, format conversion, and hyperparameter tuning.

labelme2coco

A lightweight package for converting your labelme annotations into COCO object detection format.

panlabel

Universal annotation converter

labelme-to-yolo

Python library to convert LabelMe JSON annotations into YOLO (YOLOv5/YOLOv7) format, including automatic dataset splitting and structure generation for computer vision workflows.

rubetools

Tool for working with images annotations. Allows you to convert, modify and analyze annotations to images of such formats as Yolo, COCO, LabelMe, etc.

vision-converter

VisionConverter is a Python library designed to convert object detection dataset annotations between the most widely used formats in computer vision. Allows developers to do conversions both from the command line and directly in Python code.