Dataset

A Dataset groups every version of the Data you selected from your Datalake to build and train a Model: each DatasetVersion is a labeled, versioned snapshot, built by selecting Data from one or several Datalake.

For Computer Vision teams, this is where raw Data turns into something a Model can actually be trained or evaluated on: defining a Labelmap, structuring and querying Asset, and keeping a full version history of every change made to a Dataset over time.

This section covers how to create, structure, and version a Dataset, starting with Dataset and versioning system. Creating and editing the Annotation themselves is covered in Annotation Tool & Campaign.