| CPC G06F 40/169 (2020.01) [G06T 7/251 (2017.01); G06T 7/33 (2017.01)] | 20 Claims |
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1. A method, comprising:
receiving, with at least one processor, annotated image data associated with an image, wherein a first portion of the annotated image data comprises an annotation associated with an object within the image;
determining an error associated with the first portion of the annotated image data based at least in part on a comparison of the annotation with annotation criteria data associated with criteria for at least one annotation;
determining a priority level of the error;
identifying a particular destination for the annotation from a plurality of destinations based at least in part on the priority level of the error, wherein a first destination of the plurality of destinations is associated with a computing device, wherein a second destination of the plurality of destinations is associated with training of a neural network for autonomous driving, wherein each of the plurality of destinations is associated with a respective priority level of a plurality of priority levels of errors; and
routing the annotation to the particular destination, wherein the neural network is trained using a second portion of the annotated image data based at least in part on determining the error.
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