> For the complete documentation index, see [llms.txt](https://docs.saas.haut.ai/haut.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.saas.haut.ai/haut.ai/haut.ai-features/datasets.md).
# Datasets
This page explains how Datasets help you organize end-user images, review AI results, and turn analysis data into business insight.
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The Datasets feature is available for **all** plans
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Datasets section is available in [Datasets section in SaaS](https://saas.haut.ai/app/datasets)
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## About Datasets
Datasets are workspaces for the end-user images and AI analysis results you collect through Haut.AI. They help you keep data from a specific activation, market, study, Consumer App, or internal test in one place.
Use a dataset when you need to:
* Store and review end-user images and calculated skin metrics.
* Keep audiences separate by market, campaign, study, app, or testing environment.
* Compare groups of users without mixing unrelated data sources.
* Export results for reporting, BI tools, CRM workflows, or internal analysis.
* Connect analysis results to downstream workflows with webhooks or API-based integrations.
A dataset contains images for multiple end users. Each end user is represented as a [Subjects](/haut.ai/haut.ai-features/datasets/subjects.md), so you can review an individual person's photos and results while still keeping the full audience together.
## What value you get
Datasets turn individual image analyses into a structured source of insight for your team.
* **Understand your audience**: review age groups, skin types, skin tones, and dominant skin concerns across the people in a dataset.
* **Track operational quality**: monitor image quality and analysis completeness before using results in reports or campaigns.
* **Review results at different levels**: look at a whole dataset, an audience segment, one subject, or one photo depending on the decision you need to make.
* **Separate business contexts**: keep results for different regions, studies, launches, or Consumer Apps cleanly separated.
* **Reuse the same data structure**: view results in SaaS, export CSV files, generate reports, or connect external systems from the same dataset.
***
## Supported Data Types
Different data types represent different sources of images. The currently supported data types are:
* [#data-type-selfie](#data-type-selfie "mention").
### Data Type: Selfie
Selfie images are images collected with modern smartphones.
Selfie images include:
* Frontal selfie image, where the yaw degree of head rotation is +/-5 degrees.
* Right selfie image, where the yaw degree of head rotation is 40+/-5 degrees.
* Left selfie image, where the yaw degree of head rotation is -40+/-5 degrees.
Selfie images normally have high enough spatial resolution for AI analysis, but they still require consistent face position and illumination. You can use [LIQA](/haut.ai/haut.ai-features/liqa.md) to help standardize image capture quality.
***
## Getting Started with Datasets
### Interface
1. Navigate to the [Datasets section in SaaS](https://saas.haut.ai/app/datasets).
2. Click the "New Dataset" button in the top-right corner of the screen.
3. A pop-up menu for new dataset creation appears.
4. Select one of the supported [#supported-data-types](#supported-data-types "mention").
5. Select the Application (optional).
1. The default Application is [Face Metrics 2.0](/haut.ai/haut.ai-features/algorithms/face-metrics-2-0.md).
2. You can read more about suitable Applications with Algorithms here: [Algorithms](/haut.ai/haut.ai-features/algorithms.md).
6. Enter the name of your new Dataset.
7. Click the "Submit" button to create the dataset.
### API \[Professional Plan only]
See [API Quick Start Guide](/haut.ai/developers/deprecated-developer-guide/api_quick_start.md#create-dataset).
## What you can do next
* Review the people inside a dataset: [Subjects](/haut.ai/haut.ai-features/datasets/subjects.md).
* Decide how long photos, results, and survey answers are kept: [Data Retention](/haut.ai/haut.ai-features/datasets/data-retention.md).
* Explore dataset-level audience insights: [Analytics](/haut.ai/haut.ai-features/datasets/analytics.md).
* Export raw analysis results: [Export Results as CSV file](/haut.ai/haut.ai-features/datasets/csv-file-with-raw-statistics.md).
* View photo-level reports and visualizations: [Different Visualisations of Analysis Results](/haut.ai/haut.ai-features/datasets/get-a-report.md).
* Send completed analysis results to external systems: [Webhooks](/haut.ai/haut.ai-features/datasets/webhooks.md).
***
{% hint style="warning" %}
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