Method for image analysis

This invention describes a method for creating artificial images to train or test artificial intelligence systems. It works by defining various settings for 3D scenes, generating many different scenarios based on those settings, and then rendering images for each scenario. The goal is to produce a diverse collection of these artificial images. A specific version of this method involves only modifying a portion of these images while leaving others untouched, which helps reduce the amount of data needed to effectively train an AI.

Why it matters: Filed as generative AI was rapidly maturing. The tools for programmatic, parameter-driven synthetic data generation with fine-grained attribute control have significantly advanced since 2023, making this method more practical for creating targeted, efficient training datasets.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, 3D rendering, machine learning integration

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