Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
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.
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
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)
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