syntheticAIdata

Founded 2021

Generate annotated synthetic image datasets to train computer vision models faster

Pricing model

Contact for pricing

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use syntheticAIdata to create synthetic datasets for training and testing computer vision models. The service generates simulated images with automatic annotations, helping machine learning teams overcome data scarcity and privacy concerns. You can configure custom environments, simulate edge cases, and model rare defects that seldom appear in real-world samples. It allows you to run workloads in your private cloud or via a self-service web interface. After generation, you can export and download formatted datasets directly into your existing machine learning pipeline.

What syntheticAIdata does

Configure custom 3D simulation environmentsSimulate specific physical defects on virtual productsGenerate labeled images with automated bounding boxes and masksDownload finished image sets for local model trainingSimulate variable lighting and camera anglesExport image annotations in standard machine learning formatsRun dataset generation workloads on private infrastructureAutomatic label generation for visual training imagesSimulation of camera lenses and lighting conditionsEdge-case and rare defect modeling for industrial partsSelf-service web portal for quick dataset generationPrivate cloud and on-premises deployment optionsExportable data formats compatible with standard vision frameworksSynthetic environment customizer for diverse physical scenarios