Escalator Face Bounding Dataset
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The Escalator Face Bounding Dataset is specifically designed for use in government and security sectors, featuring a collection of outdoor-collected images with resolutions exceeding 960 x 540 pixels. This dataset employs bounding boxes to annotate the head, face, and entire body of individuals captured in escalator settings. The annotations are meticulously drawn to encompass the entire face, including any masks that might be worn, ensuring comprehensive facial recognition capabilities even in partially obscured conditions.
该自动扶梯人脸边界数据集专为政府与安全领域设计，收录了一系列分辨率超过960 x 540像素的室外采集图像。该数据集采用边界框标注捕捉于自动扶梯场景中的人物头部、面部及全身。标注工作细致入微，旨在全面覆盖人脸区域，包括可能佩戴的面具，以确保即使在部分遮挡的情况下，也能实现全面的人脸识别能力。
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