Creating a Basic Shape Dataset
In this end-to-end example, we will create a basic shape dataset and import annotations already in COCO format. Once imported, we will adjust some annotations and export the data back to COCO format.
Please follow the instructions on getting started before continuing.
Once you have successfully launch COCO Annotator and navigated to the home page you should be greeted with this page.
Before we are able to annotate we must create a dataset with some categories. A Dataset contains images and is a way of separating different types of training data. If you would like more information about datasets or categories, you can click the blue information icon located beside the title.
To create a dataset start by clicking the green Create button located under Dataset tile. A popup with ask for a name as well as categories; since we haven't created any categories there will be none in the list. Give it a unique name, and take note of the directory (found under Folder). Click create and you have successfully created your first Dataset!
Navigate to the Categories tab found on the navigation bar, once again you will be presented with a create button. Click it and give the category a name. In this example, I will only be creating one category, since more will be added once we load the annotations found in the COCO file.
Go back to the Datasets tab and click the edit options found in the dropdown of the dataset card. Your category should be displayed in the categories window where you can select it.
Once you click done you have added a category to the dataset and it should be displayed in the cards footer.