Managing large datasets and complex machine learning projects can be a daunting task, especially when it comes to organizing your data. With this in mind, V7 team announces the latest update to the “Classes” page.
This update is designed to enable users to create, edit, search and map classes, which are stored both globally (at a team level) and locally (at a dataset level) from a single page. In short - this means that you can have full visibility and control over changes made to your classes and subannotations.
The redesign of the Classes page ensures that your team can work collaboratively and that your data remains consistent across all your projects, saving you valuable time and avoiding communication bottlenecks.
The Classes tab contains all classes created across all datasets in your V7 team. This tab is visible to Users, Admins, and Team Owners, and can be filtered by class type, and sorted by class name or date added.
You can also manage your classes on a dataset-level, where the tab is broken down into two sections - Local classes that have been added to the dataset itself, and the Global classes. You can include and exclude classes, as well as delete them.
Additionally, you can create four different sub-annotation types including Attribute, Text, Directional Vector or Instance ID and add them in real-time to the created classes.
