System and method for image analysis

A vehicle's camera records images, and its computer system automatically identifies objects, drawing boxes around them. These images, now with the boxes, are sent to a verification system to confirm if the object detection was accurate (e.g., correctly identified a pedestrian, missed a car, or falsely identified something). This feedback then helps train the object detection system to improve its accuracy for future images. The invention specifically details sending these boxed images from the vehicle to a remote computer for this verification and training process.

Why it matters: Filed before the widespread adoption of highly efficient deep learning architectures and robust data labeling platforms. The core feedback loop for training object detection models is now significantly more feasible and effective due to advancements in AI model training and data annotation tools since 2017.

Status: Not in forceListed as no longer active.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

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