Image processing device, image processing method, and storage medium

TL;DR: In this article, an image processing device has an extraction unit that extracts image data by using a predetermined sliding window in an original image; a learning unit that generates a prediction model by performing machine learning on learning data including the image data, and a select unit that selects, out of other image data different from the original image, another image data in which an error in classification based on the prediction model is larger than a predetermined threshold, and adds the selected image data to the learning data.

Abstract: An image processing device has an extraction unit that extracts image data by using a predetermined sliding window in an original image; a learning unit that generates a prediction model by performing machine learning on learning data including the image data by using a teaching signal representing classification of the image data; and a select unit that selects, out of other image data different from the image data, another image data in which an error in classification based on the prediction model is larger than a predetermined threshold and adds the selected another image data to the learning data, and the learning unit updates the prediction model by repeating the machine learning in the learning data in which the another image data is added.