> ## Documentation Index
> Fetch the complete documentation index at: https://docs.repli5.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Quick Start

> Augment your first image, navigate the dashboard, view your results, add to your Data Library, and download the augmented dataset.

Welcome to this step-by-step guide on how to perform data augmentation using Repli5.

## Gain Access

Apply for an account by emailing your email address and use case to [invite@repli5.com](mailto:invite@repli5.com). Sign up using the invite link sent to your inbox.

## Repli5 Dashboard

![Repli5 Dashboard](https://mintcdn.com/repli5/NJO1k2iyV65GVtZZ/images/image.png?fit=max\&auto=format\&n=NJO1k2iyV65GVtZZ\&q=85\&s=d730962a9c6d617546a40fae0145cc38)

In the side panel you can navigate to:

1. **Dashboard**
2. **Data Library**
3. **Marketplace**
4. **Augment** (*Defect Generation*, *Variation Generator*, *Sim-to-Real*, *Real-to-Real*)

## Augment Workflow

![Augment Workflow](https://mintcdn.com/repli5/NJO1k2iyV65GVtZZ/images/image-1.png?fit=max\&auto=format\&n=NJO1k2iyV65GVtZZ\&q=85\&s=d82426d8dbefafb96c215ddcef9f934a)

1. Navigate to the **Augment** page.
2. Select your desired workflow tab (**Defect Generation**, **Variation Generator**, or **Sim-to-Real**).
3. Select a source dataset from the **Dataset** panel (or upload a single image in the **Upload** tab).
4. Configure your defect presets, variation prompt, or scene condition preset.
5. Press the **Augment** button to launch the job.
6. Monitor progress and automated quality evaluation scores in the **Augment History** panel at the bottom of the page.

### View and Compare

![View and Compare](https://mintcdn.com/repli5/NJO1k2iyV65GVtZZ/images/image-2.png?fit=max\&auto=format\&n=NJO1k2iyV65GVtZZ\&q=85\&s=c173715c27e41fce3cb036f30445fcd2)

* Use the slider to compare the input vs. output image side-by-side.
* Use the toggle buttons to switch between **RGB**, **Depth**, **Instance**, and **Semantics** for comparison.
* Use the **Show bounding boxes** checkbox to toggle 2D/3D bounding boxes.

### Downloading Your Dataset

![Download Dataset](https://mintcdn.com/repli5/NJO1k2iyV65GVtZZ/images/image-6.png?fit=max\&auto=format\&n=NJO1k2iyV65GVtZZ\&q=85\&s=84cbdbc8ff08a7bcc33a2ec21e9cfebf)

* Navigate to the **Data Library** from the navigation pane on the left side of the screen.
* Click **Download** on your completed dataset to download the full `.zip` package (input RGB, augmented images, masks, and bounding-box / COCO annotations).


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.