nguyenkhoa/antispoofing-2

该数据集包含了图片及其相关特征，用于区分真实图片和伪造图片。数据集由训练集和评估集组成，共包含200,000个样本，其中训练集180,000个，评估集20,000个。数据集的特征包括图片路径、标签（真实或伪造）、裁剪后的图片、边界框、原始图片和标签名称。

This dataset consists of images and their related features, used to differentiate between live and spoof images. The dataset is composed of a training set and an evaluation set, totaling 200,000 samples, with 180,000 in the training set and 20,000 in the evaluation set. The features of the dataset include image path, label (live or spoof), cropped image, bounding box, original image, and label names.