convert dataset to coco/voc format

How to create custom COCO data set for instance segmentation

Web application for image labeling and segmentation

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

Help converting LabelMe Annotation Tool JSON format to YOLO text file format. If you've already marked your segmentation dataset by LabelMe, it's easy to use this tool to help converting to YOLO format dataset.

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

基于Qt实现的图片数据标注工具. Image Annotation Tool Based on Qt, supporting 2D/3D Detection/Segmentation Annotation.

ImgEnhance For Obejct Detection tool

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

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

Convert LabelMe Annotation Tool JSON format to YOLO text file format

图片标注工具

Tool to convert all labelme keypoints file to one single coco keypoints file

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

use DL model automatically label image

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

A framework for training mask-rcnn in pytorch on labelme annotations with pretrained examples of skin, cat, pizza topping, and cutlery object detection and instance segmentation

A useful script for converting voc format annotations(generated by LabelImg or Labelme) to coco format annotations

Image Annotation Tool with Automated labelme in Python (automated rectangle or polygonal annotation)