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2021-12-18
相关数据集
InstanceAugmentation
InstanceAugmentation是由牛津大学视觉几何组创建的数据集，专注于通过实例级增强来扩展图像数据集。该数据集通过重新绘制图像中的单个对象，保持其原始形状，从而在不改变类别标签的情况下增加数据多样性。数据集创建过程中，结合了预训练的潜在扩散模型，通过深度和边缘图控制条件，无缝重新绘制场景中的个体对象。此方法不仅适用于任何分割或检测数据集，还特别适用于数据匿名化，如重新绘制隐私敏感实例。
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ANONYMIZATION OF AUDIO-VISUAL MEDICAL DATA
Aspects of anonymization of audio-visual medical data are described. Video data comprising a sequence of images is received for monitoring a subject. One or more faces are detected in each image of th
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pone.0285212.t005 - A distributed computing model for big data anonymization in the networks
pone.0285212.t005 - A distributed computing model for big data anonymization in the networks
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Mobile events from analytics libraries
This dataset contains events captured from analytics libraries generated from 25 different applications. Each dataset has been converted to transactional data and on each of it has been executed a loc
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Coding example for the anonymised response file.pdf
File is a coding example of the anonymised data
DataCite Commons2023-03-11 更新50
