Before we dig in, let's see how your account is structured, so that you can more comfortably navigate various pages and menus on the Suite.
Under each account there are a few things:
If you are reading this, you probably know that our Suite is built for creating, managing and understanding machine learning data. Therefore, data is one of the components that live under an account. Specifically, in the context of our Suite, data refers to the raw data files (i.e. images, videos, text) that become the building blocks of our ML datasets.
Collaboration is a big part of our Suite. As such, you can invite multiple users to your account and give them one of several roles. More on this later.
Projects define how you will create data labels and manage them. When you create a project, you'll first customize its specifications (i.e. the types of annotations to be added to each data, list of tags or classes to choose from, etc.). Then, you'll populate the project by adding data to it.
By adding data to a project, you will automatically create a label for each data file. Simply put, a label is a JSON file that stores all tags and relevant information about the data file it's tied to. For now, just remember,
Project + Data ⇒ Label!
Any other questions? E-mail us at firstname.lastname@example.org.