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AUTOMATICALLY GENERATING IMAGE DATASETS FOR USE IN IMAGE RECOGNITION AND DETECTION

机译:自动生成图像数据集以用于图像识别和检测

摘要

Systems and methods relating to image processing and artificial intelligence. Given a small number of defect images, a multitude of other defect images can be generated to serve as training data sets for training artificially intelligent systems to recognize and detect similar defects. Given original images showing defects, a clean image of the background of the original images is created. The defect image is then isolated from each of the original images. The characteristics of each defect image are determined and characteristics of similar defects are also determined, either from other images or from subject matter experts. Based on these characteristics of similar defects, multiple other defect images are then generated. The generated defect images are combined with the clean image to result in defect images with a suitable background. Each of the resulting images can be used in training systems in recognizing and detecting defects.
机译:与图像处理和人工智能有关的系统和方法。给定少量缺陷图像,可以生成大量其他缺陷图像,用作训练数据集,以训练人工智能系统识别和检测相似的缺陷。给定显示缺陷的原始图像,将创建原始图像背景的干净图像。然后将缺陷图像与每个原始图像隔离。确定每个缺陷图像的特性,并确定其他缺陷图像或主题专家的相似缺陷的特性。基于相似缺陷的这些特征,然后生成多个其他缺陷图像。将生成的缺陷图像与干净图像进行组合,以生成具有适当背景的缺陷图像。每个结果图像都可以在训练系统中用于识别和检测缺陷。

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