Versioning

Version your dataset for training or export

Dataset versions allow you to keep track of different versions of your dataset for export or model training. This creates a "locked in" or pinned snapshot of your dataset which you can use to train and tweak variations of your models. A dataset version is different than a model version which you will create at the model training step.

When a new version is created, the following attributes will be locked in your current version, and changes after that time will be applied to the next version:

  • Source data

  • Label definitions

  • Label instructions

  • Label annotations

  • Label status

  1. In your dataset, navigate to the "Versions" tab.

  2. Click "New Version"

  3. In the modal, click "Create Version" to lock in your current dataset.

If this is your first version, this will lock in Version 1. You will then be able to train a model with Version 1 of your dataset. Additional changes to your dataset will be applied to Version 2, and so on.

‚Äč