convert dataset to coco/voc format

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.

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

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

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)

A Semi-automated Annotation Tool Integrated with Deep Learning

Convert labelme format to yolo segmentation format

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

Due to the postponement of the release of the woodscape dataset, I plan to create a soiling dataset myself for research. Deeplabv3+ train your own dataset

Convert from YOLO detected polygons to LabelMe json format