CPC G06N 20/00 (2019.01) [G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/41 (2023.01); G06N 5/04 (2013.01); G06V 10/774 (2022.01); G06V 10/945 (2022.01)] | 20 Claims |
1. A computer-implemented method for developing training data for a classification of images, the training data comprising images tagged with labels for the classification of the images, the method comprising:
prompting a user to define a framework for the classification, the framework, when defined, including example images that are each paired with one or more example labels;
prompting qualified human classifiers to tag an initial set of images within the training data with labels for the classification based on the example labels within the framework; and
adding the tagged images to the training data, wherein the training data is used to train a machine learning model to automatically tag further images with labels according to the framework.
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