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Systems and methods for image preprocessing to improve accuracy of object recognition

机译:用于图像预处理以提高对象识别准确性的系统和方法

摘要

The present disclosure relates to image preprocessing to improve object recognition. In one implementation, a system for preprocessing an image for object recognition may include at least one memory storing instructions and at least one processor configured to execute the instructions to perform operations. The operations may include receiving the image, detecting a plurality of bounding boxes within the image, grouping the plurality of bounding boxes into a plurality of groups such that bounding boxes within a group have shared areas exceeding an area threshold, deriving a first subset of the plurality of bounding boxes by selecting bounding boxes having highest class confidence scores from at least one group, selecting a bounding box from the first subset having a highest score based on area and class confidence score, and outputting the selected bounding box.
机译:本公开涉及用于改善对象识别的图像预处理。在一个实现中,一种用于预处理图像以用于对象识别的系统可以包括至少一个存储指令的存储器和至少一个处理器,该至少一个处理器被配置为执行指令以执行操作。所述操作可以包括:接收图像;检测图像内的多个边界框;将多个边界框分组为多个组,以使得组内的边界框具有超过区域阈值的共享区域;导出图像的第一子集。通过从至少一个组中选择具有最高类别置信度分数的边界框,基于面积和类别置信度分数从具有最高分数的第一子集中选择一个边界框,并输出所选择的边界框,来选择多个边界框。

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