How Does dataspan.ai Work?

dataspan.ai is a web application that leverages generative AI algorithms to create images for computer vision applications. Unlike many companies that use 3D engines to render synthetic data, dataspan.ai employs generative AI to generate this data.

Enriching your training Dataset with dataspan.ai can significantly improve your models' performance without changing your existing training processes. By providing a small number of samples, say 5 – 15, dataspan.ai can generate 100s or 1,000s of natural-looking variations of these samples. This enriched dataset allows you to train your models more effectively.

For example, building object detection models is a well-known process. However, when there is not enough data to perform object detection, anomaly detection is often used instead. The problem is that anomaly detection algorithms often suffer from high false-positive rates. A primary benefit of using dataspan.ai is its ability to enhance datasets for various use cases, such as generating images with anomalies or distractors (distractors are elements that look similar to the target objects but are not relevant, such as oil marks when looking for cracks in metal). This enables you to go back to using object detection, which usually experiences fewer false positives.