Synthetic images
for Computer Vision
What Are Synthetic Images?
Synthetic images are artificially generated visuals created using techniques such as 3D rendering, generative adversarial networks (GANs), and procedural modeling. These images provide an unlimited source of structured, high-quality data for AI training, allowing developers to simulate diverse conditions, rare events, and complex environments without the constraints of real-world data collection.
Procedural engine
Unlike conventional datasets, which may be plagued by biases, privacy concerns, or costly acquisition processes, our synthetic images offer a pixel-perfect alternative that is fully customizable and free of any inherent biases or privacy issues.
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
3D SCENE
IMAGE
RENDER
Complex Labelling
Materials Database
Light Sources
Virtual Camera Controls and Properties
Fully Labeled Image Datasets
Benefits of Synthetic Images for Computer Vision
1.
Cost Efficiency
Gathering real-world data requires extensive resources, from setting up cameras and environments to manually labeling images. Synthetic data automates this process, cutting costs and development time.
2.
Better Data Quality & Annotation Accuracy
Unlike human-annotated datasets prone to inconsistencies, synthetic images come with precise, programmatically generated labels, enhancing model performance
3.
Diversity & Bias Reduction
4.
Privacy & Compliance
Synthetic images contain no personally identifiable information. They cannot be reverse-engineered to extract sensitive details, making it a safer option for AI applications.
5.
Faster go-to-Market
6.
Scalable and Secure Solutions
With AI Verse’s Procedural Engine, you gain full control, ensuring scalability. Synthetic images can be generated on demand whenever needed.