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At the "Projects" page you can view all projects and datasets that you have.


We use a two-level structure for simplicity: projects and datasets inside the project. Datasets contain images and their annotations. One image logically can not be assigned to several datasets or projects.

Images are not duplicated.

You can upload images multiple times, but only one version will be stored inside the system. This approach allows us to effectively work with cloud storage. Also this has a good effect on system performance and backup speed.

Classes and tags are assigned to the project and available for all datasets inside of it.

Example of the structure. This user has 3 projects, three datasets inside project1, one dataset inside project2, and two datasets inside projectN.

├── project1
│   ├── dataset1
│   ├── dataset2
│   └── datasetK
├── project2
│   └── dataset777
└── projectN
    ├── dataset_999
    └── ds333

List of Projects

Here is the example of "Projects" page.

Project page

Just click on the project to view its datasets.

How to go to the annotation tool?

If you click on a dataset, you'll be redirected to the Annotation tool.

As you can see from the screenshot above, user can view various kinds of information about the project:

  • Datasets tab — list of all datasets in the project

  • Info tab — meta information for the project

  • Statistics — extended statistics about images, objects, their various distributions.

  • Classes — list of all available object classes in the project.

  • Tags

    • Image tags — list of all available image tags in the project.

    • Object tags — list of all available object tags in the project.

  • Setting — Project settings. These allow to configure behaviour for most of the tools in the "Annotation" module.