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.

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

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

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.

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

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

Detect Credit card number using Mask RCNN and make task easier for OCR to retrive number from the card

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

Python scripts for converting json annotations from Anylabeling/LabelMe to YOLO txt files.