Leading The Way in AI Model Training
When real-life data capture is challenging.
We generate diverse, fully labeled image datasets.
GAIA
Procedural Engine For Outdoor Applications
Reach Strategic Superiority
Generate Synthetic Images with Gaia and Accelerate your AI training
HELIOS
Procedural Engine For Indoor Applications
Unleash Unlimited Potential with Helios
Access unlimited synthetic images to train your computer vision models
Generate SyntHetic Data
Our procedural technology ensures the highest quality, unbiased, labeled synthetic datasets that will improve your computer vision model’s accuracy
On Demand
Generate the images when you need them.
Customizable
Gain complete control over configurations, including scenes, sensors, lighting, activities, labels, and more.
Privacy Compliant
Eliminate privacy concerns by avoiding the use of real-world data.
Procedural engine
AI Verse empowers you with full control over scene parameters, ensuring you can fine-tune the environments for unlimited image generation, giving you an edge in the competitive landscape of computer vision development
3D SCENE PROCEDURAL GENERATION
Scene Layout: Stochastic
Decomposition Trees
3D Standardized Assets Database
CAD 3D SCENE
IMAGE
RENDER
Complex Labelling
Materials Database
Light Sources
Virtual Camera Controls and Properties
Fully Labeled Image Datasets
Our Expertise
Cut Cost and Time on Data Acquisition
Generate one fully labeled image in just 4s!
Enhance AI Model Accuracy
Generate all edge cases to improve your models’ accuracy!
Obtain Pixel-Perfect Labels
Obtain 8 automatic pixel-perfect labels!
Accelerate Time-to-Market of Your AI
Launch faster than ever before and gain a competitive edge!
Use Cases
Our synthetic images has been successfully used to train various AI models:
Human Detection
Military Vehicle Detection
Weapon Detection
Drone Detection
Fall Detection
Abandoned
Luggage Detection
FAQs
What Pixel-Perfect Labels Are Included in AI Verse's Synthetic Image Generation Engine?
There are 8 pixel-perfect labels included: Classes, Instances, Depth, Normals, 2D/3D Bounding Boxes, 2D/3D Keypoints, Skeletons, and Color.
How Does AI Verse Generate Synthetic Data for AI Model Training?
Users select the desired parameters for the environment, scenes, objects, activities, lighting, and more. Based on these criteria, our engine can generate an unlimited number of diverse, varied, and labeled images ready for AI model training.
How Accurate Are the Labels in AI Verse's Synthetic AI Datasets?
Yes, our automated system ensures that each generated image contains 8 pixel-perfect labels, reducing the risk of inaccuracies and guaranteeing the highest data quality.
What Is The Difference Between AI Verse Synthetic Image Data and GenAI Images?
Our proprietary procedural technology generates images based on human input. Users select various criteria for the image from a menu in a step-by-step process, rather than typing a prompt into a GenAI tool. This approach minimizes mistakes and ensures the highest possible realism in our images.