convert dataset to coco/voc format

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.

How to create custom COCO data set for instance segmentation

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

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

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

ImgEnhance For Obejct Detection tool

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.

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

图片标注工具

Convert LabelMe Annotation Tool JSON format to YOLO text file format

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

Change detection annotation tool built on the well-used labelme, so called labelme_cd.

Build U-NET with TensorFlow 2 and train a dataset annotated with labelme

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

Convert labelme format to yolo segmentation format

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

use DL model automatically label image