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.
You will need to download the Shapes Dataset.
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 proceeding, check the top right to make sure you see Done. This indicates that the client has successfully connected to the backend/database.
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 (no categories will be listed, we will come back later and add some to our dataset). Give it a unique name, and take note of the directory (found under Folder) and click Create Dataset.
Navigate to the Categories tab found on the navigation bar, once again you will be presented with a create button. Here you can create as many categories as you would like.
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.
