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HELIOS

Procedural engine for Indoor applications

Synthetic Images for AI Model Development

When real-life data capture is challenging.
We generate diverse, fully labeled image datasets.

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Transform Your AI Training with Synthetic Image Datasets

Entirely Procedural

With our procedural engine, simply set your desired parameters and watch as Helios generates the scene for you.

Images On-Demand

Generate your own custom datasets on-demand. Save time and resources while gaining full control over scene configurations for AI training.

8+ Automatic LABELS

Each image in your dataset comes fully labeled. Enjoy pixel-perfect labels without bias, enabling your models to learn from high-quality data that reflects real life.

50+ Adjustable PARAMETERS

With more than 50 adjustable parameters, configure scenes according to your specifications—from sensor settings and lighting conditions to activities and labels.

DYNAMIC PREVIEWS

Helios allows you to instantly preview images during your session, so you can refine scenes on the fly and get the quality you expect.

Configure your custom image datasets from our catalog of 3D assets.

IMAGE DATA GENERATION WITH A PROCEDURAL ENGINE

1.

Get Started

Create a project and add your first batch. You can add as many batches as you want to each project.

2.

Set the scene

Select the type of environment you need. Add specific objects of interest from a catalog with 3D assets. Your objects of interest are automatically added to each scene.

3.

Call the Action

Select the activities you are interested in. Set various parameters related to the characters you are adding such as age, gender, physical characteristics, ethnicity, etc.

4.

Lights

For each batch, select several lighting scenarios from a catalog including various artificial and natural lighting conditions. You can even simulate pictures taken with a flash if desired.

5.

Camera

Set your camera’s intrinsic and extrinsic parameters to match your use case. For example, simulate images from a fixed surveillance camera, a drone, satellite image.

6.

Generate

Select the labels you need among instance and semantic segmentation, depth image, 3D normal image, albedo image, Lambertian reflectance model, or skeleton key points. Next, choose the number of scenes and images per scene. Then, generate your fully labeled dataset.

How it Works

Configure the images you need in minutes

Click to generate

Download your automatically labeled dataset

Advanced Configuration

Configure with more than 50 parameters and optimize your dataset.

Image previews
Image previews are accessible at every step, so you see the results in real-time.
Add your activities

Add various human activities to your scenes. Select the gender, age, ethnicity and physical characteristics of the human participants.

Self-service dataset generation

Flexible pay-per-use system. Datasets are stored securely and delivered via the cloud—no minimum or a maximum number of images. Expand your datasets incrementally as needed.

10+ varied and complex labels

Labels are pixel-perfect and bias-free.

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Use Cases

Our data has been successfully used to train models in various areas, including:

Fall Detection

Abandoned Luggage Detection

Weapon Detection

Human Detection

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Boost AI Model Accuracy

with High-Quality Synthetic Images!

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Garden Space BAT A
06410 BIOT, FRANCE

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