So anyone familiar with labelimg, start annotating with labelme should take no time. Labelme is quite similar to labelimg in bounding annotation. Run my script to convert the labelme annotation files to COCO dataset JSON file.Download labelme, run the application and annotate polygons on your images.Here is an overview of how you can make your own COCO dataset for instance segmentation. coco-annotator, on the other hand, is a web-based application which requires additional efforts to get it up and running on your machine. labelme is easy to install and runs on all major OS, however, it lacks native support to export COCO data format annotations which are required for many model training frameworks/pipelines. There are many tools freely available, such as labelme and coco-annotator. Instance segmentation is different from object detection annotation since it requires polygonal annotations instead of bound boxes. If you just want to know how to create custom COCO data set for object detection, check out my previous tutorial. In this post, I will show you how simple it is to create your custom COCO dataset and train an instance segmentation model quick for free with Google Colab's GPU.
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