Projects
You can think of a Project as a superfolder with data and metadata, like classes and tags. Every dataset inside the project will share the same metadata and have the same classes and tags defined on the project-level.
Projects List
At the Projects page you can view all projects you have in the current workspace.
Please note the "three dots" (⋮) icon in the bottom right corner of a project. This is what we call the "context menu". From here, you can perform many important activities related to the project, such as cloning the project, running an app for the project, or deleting the project.
How to create a Project
Wait, there is no Create button on this page. So how do I create one?
You can take a sample project from the ecosystem.
Import Data
Upload images, videos or other files from your computer at the Import page. You will be asked to provide a name for a Project — and after successful import, you will have one.
Add using API
If you want to automate the process of adding new data, it's a way to go! We have a powerful API and SDK that lets you start in no time.
Project Type
At the moment we support:
Images
Videos
3D Point Clouds
DICOM
You can see a project type in the top left corner of a project card.
Cards & table views
At the Project page you can change how to list projects and datasets: as cards or as a table. You can switch the view by clicking the icon at the most right side of the page.
Filter & sort projects
Show only specific projects and datasets by multiple parameters, including project type, labeling job, author and so on.
Learn more about using conditional filters and building custom queries on your training data in our comprehensive blog post.
Data Commander
You can also find the list of your projects across all of your teams and workspaces by navigating to the Data Commander. There, you can move or copy both projects, datasets, images and even project metadata.
Trash Bin
You can remove one or multiple projects and datasets by selecting them using checkboxes and clicking the Move to Trash button. This won’t delete your data immediately — you can learn more in the Storage Cleanup section.
Datasets
Dataset is the second most important concept in Supervisely.
Classes
Classes are pre-defined types of your annotations.
Tags
Sometime you need more than a bunch of marked pixels on an image.
Statistics
Having entered the project, in the top menu we see the statistics section.
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