Usage
Navigate to the Categories tab found on the navigation bar, you will be presented with a create button. Here you can create as many categories as you would like.
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. Give it a unique name, select any categories that apply and click Create Dataset.
Navigate to the datasets card click the Edit options found in the dropdown of the dataset card. Your category should be displayed in the categories window. From here you can change and select categories.
Once you click done you have added a category to the dataset and it should be displayed in the cards footer.
In this section, we will be looking at using the file watcher methods to import images into a dataset. For Windows users, the process is slightly different and a brief overview can be found here. While the annotator is running the datasets directory is being monitored for file events. Whenever an image is deleted, created or moved the corresponding event is reflected in the database.
Advantages:
- Easy to import large datasets
- No file size limit
- Simple
Disadvantages:
- Requires access to the machine running annotator
- Complicated for windows users
Navigate to the datasets directory located at the root of this project. Inside this folder, you should see folders with the names of the datasets you have created. From here simply place images inside the corresponding folder to add them to the dataset. Subfolders are highly recommended as they can be used as a filtering method in the client UI.
The annotator will start adding the images to the dataset, give it a few seconds before refreshing the client.
To open the image annotation tool, click on a dataset in which the image you want to annotate is within. A viewer of all images in the dataset will be presented. If you placed the images in subfolders you can use the subdirectories badges to help filter the images by clicking on them.
Once you have found the image you would like to annotate, simply click on the image to open it in the annotator. In this section, we will briefly look at creating your first annotation. More information can be found in the Tools section on how to improve this process.