Finding Label and Model Errors in Perception Data With Learned Observation Assertions

Created: 2023-02-05T17:14:42-06:00

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A neural network system that is trained on the general properties of objects (ex. size and speed) and then analyzes a dataset to attempt to find errors that previous classification efforts left in the training data.