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

Convert Yolo Darket to Pascal VOC annotation format and vice versa.

Universal annotation converter

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

Convert annotations from VIA to COCO.

📦 Converts horizontal bounding boxes into oriented (rotated) boxes by prompting SAM-family models with your existing HBB annotations, no re-labeling. Includes model ensembling, confidence scoring, evaluation, format conversion, and hyperparameter tuning.

Convert and customize FLIR dataset to YOLO txt files. Works with any Conservator formatted annotation (JSON) file.

Python utility for converting COCO annotation format to YOLO labels.

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.

This project provides a complete pipeline to process polygon-style annotations, convert them into YOLO-compatible formats, and train a segmentation model using YOLOv8

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

Annotation File Converter is a GitHub repository that includes Python-based conversion scripts to convert annotations from one format to another.