CPC G06F 16/55 (2019.01) [G06F 16/4387 (2019.01); G06F 16/45 (2019.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/776 (2022.01)] | 20 Claims |
1. A method for training a classifier to identify images belonging to a predetermined category, the method comprising:
receiving positive training images and negative training images;
detecting a first object in at least some of the positive training images and a second object in at least some of the negative training images; and
training the classifier to determine the first object as belonging to the predetermined category and the second object as not belonging to the predetermined category;
wherein, the classifier is trained to output a value indicative of a likelihood that an image belongs to the predetermined category.
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