Reduce Time and Effort
Capturing and annotating real-world data can be a time-consuming and labor-intensive process. Synthetic image data accelerates this process by providing high-quality, ready-to-use datasets that can be generated quickly and efficiently. This allows you to focus on model development and deployment without lengthy delays.
Reduce Costs
The cost of capturing, annotating, and maintaining real-world data can be significant. Synthetic data offers a cost-effective alternative by eliminating the need for expensive equipment, manual labour, and extensive testing setups. This financial efficiency allows for the creation of large and diverse datasets without excessive expenditure.
Maintain Variation and Balance
Making use of the vast possibilities offered by Computer Generated Imagery (CGI), and generative AI, we generate synthetic images that comprehensively represent 2D and 3D scenes. Our process, based on ‘Structured Domain Randomization’ and rendering, ensures that each variable, feature, and detail in a scene is represented with a specified multitude of values within relevant domain parameters.
Scalability and Flexibility
Synthetic data generation is highly scalable, allowing you to produce large volumes of data as needed. It also offers flexibility in simulating various conditions, such as different lighting, angles, and object states, which are essential for developing models that perform well in real-world applications.
