Dataset Versions

Versions are point-in-time snapshots of the images and labels in your dataset. When you create a Version, you can apply preprocessing steps and augmentations to your dataset.

To train a model in Roboflow, you need to create a Dataset Version.

This section of our documentation walks through how to prepare to train a model. You will need to:

1. Open the Versions page and create a new version -- Follow our guide to get to the page that lets you create a dataset version.

2. Choose preprocessing steps -- Select the preprocessing steps you need to train your model.

3. Apply augmentations -- Apply any augmentations to your dataset. We have a guide that walks through which augmentations are appropriate for different use cases.

4. Confirm your Version -- Your Version will be created and will now be available for use in training models.

5. Train a model -- Follow our model training documentation to configure your training job. You can also export a dataset version.