Search Packages

labelme2coco

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

globox

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

labelme2yolov7segmentation

No description available

dataflow-cv

DataFlow-CV: Where Vibe Coding meets CV data. 🌊 Convert & visualize data.

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.

pascal-voc

Tool to work with annotation formats

image-dataset-converter-labelme

image-dataset-converter plugins for the labelme annotation tool (https://github.com/wkentaro/labelme).

labelme2datasets

python scripts to convert labelme-generated-jsons to voc/coco style datasets.

labelmev2

Image Polygonal Annotation with Python - V2 with 45x Faster Performance

annotation-parser

AnnotationParser is a universal Python library that parses annotation files from different formats (LabelMe, COCO, VOC, etc.) into a single unified Shape data structure. This allows you to work with annotations using a consistent interface, regardless of the original format.

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.

labelme-enhanced

Image annotation tool with 45x faster loading, enhanced zoom (5000%), multiple point addition, polygon merge, and dark mode. Enhanced fork of wkentaro/labelme optimized for large image annotation workflows.