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USING MACHINE LEARNING ALGORITHMS TO PREPARE TRAINING DATASETS

机译:使用机器学习算法准备培训数据集

摘要

A computer system is configured to receive a dataset of image-derived features for a plurality of images, reduce the dimensionality of this dataset, identify clusters within the dimensionally-reduced dataset, and generate a visual representation of the datapoint of the dimensionally-reduced dataset as icons grouped by cluster. User input is received to apply user classification labels to the images for inclusion in a training dataset. A user interface is useable to present information to the user and receive information from the user to facilitate the application of user classification labels.
机译:计算机系统被配置为接收多个图像的图像导出特征的数据集,从而减少该数据集的维度,识别维度减少的数据集中的群集,并生成维度减少数据集的数据点的视觉表示作为群集分组的图标。接收用户输入以将用户分类标签应用于图像以包含在训练数据集中。用户界面可用于向用户提供信息并从用户接收信息以便于应用用户分类标签。

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