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AUTOMATED AND UNSUPERVISED CURATION OF IMAGE DATASETS

机译:自动和无监督的图像数据集计算

摘要

Techniques for dataset processing are provided. A plurality of feature vectors is generated for a plurality of pixel regions from a plurality of images, and a plurality of clusters is generated based on the plurality of feature vectors. A score is assigned to each respective pixel region in the plurality of pixel regions based at least in part on a cluster the respective pixel region is associated with. A unified dataset is created by, for each respective cluster in the plurality of clusters, computing a representative index for each pixel region in the respective cluster by comparing the pixel regions in the cluster, and modifying the score of the pixel regions in the cluster based on the computed representative indices. A confidence index is generated for the unified dataset based at least in part on a level of fragmentation in the unified dataset.
机译:提供了用于数据集处理的技术。从多个图像为多个像素区域生成多个特征向量,并且基于多个特征向量生成多个聚类。至少部分地基于与各个像素区域相关联的簇将得分分配给多个像素区域中的每个各个像素区域。通过针对多个群集中的每个群集,通过比较群集中的像素区域并基于群集修改像素区域的得分,为各个群集中的每个像素区域计算代表索引来创建统一的数据集在计算的代表指数上。至少部分基于统一数据集中的碎片级别为统一数据集生成置信度索引。

著录项

  • 公开/公告号US2020151435A1

    专利类型

  • 公开/公告日2020-05-14

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US202016733531

  • 发明设计人 CHETAN MISHRA;YUN ZHAI;

    申请日2020-01-03

  • 分类号G06K9;G06K9/66;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 11:24:58

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