# Train-time image augmentation

> Train-time image augmentation - Train-time image augmentation is a processing step in the DataRobot
> blueprint that creates new images for training by randomly transforming existing images.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.608821+00:00` (UTC).

## Primary page

- [Train-time image augmentation](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/visual-ai/tti-augment/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [Specialized workflows](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/index.html): Linked from this page.
- [Visual AI](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/visual-ai/index.html): Linked from this page.
- [About augmented models](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/visual-ai/tti-augment/ttia-introduction.html): Linked from this page.
- [Augmentation lists](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/visual-ai/tti-augment/ttia-lists.html): Linked from this page.
- [Use case examples](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/visual-ai/tti-augment/ttia-examples.html): Linked from this page.

## Documentation content

# Train-time image augmentation

Train-time image augmentation is a processing step in the DataRobot blueprint that creates new images for training by randomly transforming existing images, thereby increasing the size of (i.e., "augmenting") the training data. These sections describe components of augmentation, the process in which each image is transformed.

| Topic | Description |
| --- | --- |
| About augmented models | Read an overview of augmention. |
| Augmentation lists | Store all the parameter settings for a given augmentation strategy. |
| Use case examples | See examples of leveraging domain knowledge to craft a beneficial augmentation strategy. |