ImageBrew^®

ImageBrew® generates data from captured images, augments the images with environmental effects and labels the data to required specifications.

ImageBrew® is an AI computer vision data processing capability that automatically generates data from captured images, and augments the images with environmental effects and labels the data to required specifications. The data is then stored for computer vision algorithm training based on specific application needs.

Technical

Diagram description

Real data goes through background removal (isolate target, detect background, clean image). That output, or synthetic data, feeds the Image Processing Brewery (resize, rotate, scale, shift, contrast). Separately, background images go through the Background Processing Brewery (crop, rotate). Both breweries feed the Mixing and Augmentation Brewery (composite, lighting, blurring, environments, noise), which outputs AI data images. Together the three breweries form the Image Augmentation Network (IAN).

Designed for computer vision product developers who create pipelines for processing image data, ImageBrew synthetically produces images of the highest quality without the need for additional curation efforts. Unlike existing solutions that require humans to manually isolate images, remove backgrounds, augment the images and label the data. ImageBrew® is a fully automatic synthetic data processing API designed to integrate seamlessly with the developer’s system and processes.