five

Yale Face Database - 2 different types of backdoor patterns (glasses and full-beard) added

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NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3774166
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Datasets are split in Training To increase the size of the training and test set, the following augmentation techniques are applied: a horizontal flip, and a change of brightness by -60%, -30%, +30% and +60% percent. Each of the brightness changes is done on the original image as well as on thehorizontally flipped image. Backdoors patterns (glasses and full-beard) are added using FaceApp
创建时间:
2020-05-08
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