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Crowdsourced object-labeling based on a game-based mobile application

机译:基于基于游戏的移动应用程序的众包对象标签

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Unparalleled growth in the sharing of media via networks has prompted a great deal of research into issues pertaining to image retrieval. The training and verification of image retrieval systems requires a large number of labelled images with ground truth; however, most researchers employ public datasets for their experiments, the results are restricted by the size and content of the dataset. In this study, we developed a system based on a mobile phone App for the collection of information pertaining to the location of objects in images. The proposed system is simple and easy to use. Experiments demonstrate the excellent performance of the proposed system with regard to accuracy and response time. This study demonstrates the feasibility of collecting image information using mobile phones.
机译:通过网络共享媒体的空前增长促使人们对与图像检索有关的问题进行了大量研究。图像检索系统的训练和验证需要大量带有地面真实性的标记图像。但是,大多数研究人员使用公共数据集进行实验,结果受到数据集大小和内容的限制。在这项研究中,我们开发了一个基于手机App的系统,用于收集与图像中对象位置有关的信息。所提出的系统简单易用。实验证明了该系统在准确性和响应时间方面的出色性能。这项研究证明了使用手机收集图像信息的可行性。

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