Synthetic Data For Vision AI
The Cost-Effective Route to Accelerate Your AI Journey.
What is syntheticAIdata?
syntheticAIdata is your partner in creating synthetic data that enables you to craft diverse datasets effortlessly and at scale. Utilising our solution doesn’t just mean significant cost reductions; it means ensuring privacy, regulatory compliance, and expediting your AI products' journey to the market. Let syntheticAIdata be the catalyst that transforms your AI aspirations into achievements.
While we work hard on adding many new features to our solution, main features of syntheticAIdata are highlighted below.
Synthetic data is generated on a large scale and can cover many scenarios when real data is insufficient.
A variety of annotations can be automatically generated. This greatly shortens the time for data collection and tagging.
Minimise costs for data collection and tagging by generating synthetic data on a large scale.
No Code Solution
Our user-friendly and no-code solution empowers even those without technical expertise to easily generate synthetic data.
With seamless one-click integration with leading cloud platforms, our solution is the most convenient to use on the market.
Eliminates Privacy Risks
Synthetic data can simulate real-world scenarios and remove many burdens, such as privacy and regulatory concerns.
What You Can Build
Vision AI Solutions
Our solution supports the most used image annotation types: object detection, semantic segmentation, and image classification.
Wide range of advanced features in the solution allows you to generate synthetic data in realistic environments.
Computer vision applications enable businesses to detect product defects faster, ensuring that products meet the required quality standards.
Get in touch. Why wait?
Let us help you generate synthetic data on a large scale. Contact us to learn more about our platform and services we can provide!
Frequently asked questions
What is synthetic data?
How does synthetic data improve the performance of vision AI models?
What are the benefits of using synthetic data?
Can synthetic data be used to augment existing real-world datasets for vision AI model training?