Convert LabelMe Annotation Tool JSON format to YOLO text file format

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

use DL model automatically label image

Python utility to work with PascalVoc annotation format

Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology

Mask RCNN Implementation on Custom Data(Labelme)

AnnotationParser is a universal Python library that parses annotation files from different formats (LabelMe, COCO, VOC, etc.) into a single unified Shape data structure. This allows you to work with annotations using a consistent interface, regardless of the original format.

VisionConverter is a Python library designed to convert object detection dataset annotations between the most widely used formats in computer vision. Allows developers to do conversions both from the command line and directly in Python code.

Convert from YOLO detected polygons to LabelMe json format

Here, I developed a neural network that’s all about spotting faces, whether in images or real-time video streams. Using a VGG16-based model, this project combines deep learning and some fancy bounding-box tricks to locate faces with accuracy

Labels image/picture for deeplearning

Matching the datas generated by labelme and labelimg.

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