LabelMe docker for online image labeling
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Updated
Mar 27, 2017 - Shell
LabelMe docker for online image labeling
Application for ground-truthing semantic segmentation datasets in PyQt4/OpenCV.
Detect Credit card number using Mask RCNN and make task easier for OCR to retrive number from the card
A useful script for converting voc format annotations(generated by LabelImg or Labelme) to coco format annotations
This repository haves some python files to make images into data about labelme.
Tool to convert all labelme keypoints file to one single coco keypoints file
Building deep learning model to detect landmarks of UAE from photos, and link them to the entity of Wikipedia knowledge database
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.
acceptance testing, image viewer for validation
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
Mask RCNN Implementation on Custom Data(Labelme)
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Labels image/picture for deeplearning
How to create custom COCO data set for instance segmentation
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