Datasets

This page describes a feature of Haut.AI SaaS Platform that allows you to store images and review analysis results

Datasets feature is available for all plans

Datasets section is available in Datasets section in SaaS

About Datasets

Datasets are spaces where you can store and manage your end-user data, such as images and metrics.

• The Dataset can handle images only of selected Supported Data Types.

• The Dataset unite all images for different end users, namely Subjects.

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Supported Data Types

Different data types represent different sources of images. The currently supported data types are:

• Data Type: Selfie.

Data Type: Selfie

Selfie images are images collected with modern smartphones.

Selfie images include:

• Frontal selfie image (yaw degree of head rotation is ±5 degrees)

• Right selfie image (yaw degree of head rotation is 40±5 degrees)

• Left selfie image (yaw degree of head rotation is -40±5 degrees)

Selfie images normally have high enough spatial resolution for AI analysis, but require additional standardization of face position and face illumination, achievable with #liqa product.

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Getting Started with Datasets

Interface

1. Navigate to the Datasets section in SaaS

2. Click the "New Dataset" button on the right bottom corner of the screen

   
3. A pop-up menu for New dataset creation appears.

4. Select one of the supported #data-types

5. Select the Application (optional).

   1. The default Application is Face Metrics 2.0 Application.

   2. You can read more about suitable Applications with Algorithms here: Algorithms.

6. Enter the name of your new Dataset.

   
7. Click the “Submit” button to finish the creation of the Dataset.

API [Professional Plan only]

See Create Dataset

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FAQ