Workspaces, Projects, and Models
Learn how Workspaces, Projects, Versions, and Models structure your computer vision work in Roboflow
Everything in Roboflow follows this structure:
Workspace → Projects → Dataset Versions → Models
A Workspace is the top-level container.
It's where you and your team collaborate.
All Projects live inside a Workspace
Think of it like a company folder that holds all your computer vision work.
A Project lives inside a Workspace. Each Project is built around a computer vision dataset. This is where you manage:
Dataset updates over time
When you create a Project, you have to choose the Project type - one of the computer vision task type:
This determines how your data is structured and which model architectures you can train.
Dataset Versions
A Dataset Version is a snapshot of your dataset at a specific moment in time.
You create a Version from the current state of your Project
Once created, it does not change
Any future edits to images or annotations will not affect existing Versions
Which ensures reproducibility, clear tracking, and helps with model comparison.
Models are trained using Dataset Versions.
You select a specific Dataset Version which will be used to train a model
That model is permanently linked to that version
Available model architectures for training will depend on your Project type
You can also upload trained models to Roboflow.
