Aspect pre-selection using machine learning

This invention describes a way for a computer system to understand what's in pictures. Specifically, a user can point to an item in a digital image, and the system will identify that item, figure out its general type, and then use a personalized computer model to process it further. This personalized model is trained using data previously provided by that specific user.

Why it matters: While the claims focus on image processing, the abstract and classification G06F16/90332 describe natural language query generation. The rapid advancements in Large Language Models since 2023 make automatically generating nuanced search queries from conversation significantly more powerful and accessible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedObject recognition software, machine learning models, data management.

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