Deep Fakes Dataset Dataset

The Deep Fakes Dataset is a collection of "in the wild" portrait videos for deepfake detection. The videos in the dataset are diverse real-world samples in terms of the source generative model, resolution, compression, illumination, aspect-ratio, frame rate, motion, pose, cosmetics, occlusion, content, and context. They originate from various sources such as news articles, forums, apps, and research presentations; totalling up to 142 videos, 32 minutes, and 17 GBs. Synthetic videos are matched with their original counterparts when possible.

深度伪造数据集系一类针对深度伪造检测的“自然场景”人像视频集合。该数据集中的视频在来源生成模型、分辨率、压缩、光照、长宽比、帧率、运动、姿态、化妆、遮挡、内容以及上下文中均呈现出丰富的现实世界样本多样性。这些视频源自于新闻文章、论坛、应用程序以及研究演示等多种渠道；总计包含142个视频，时长32分钟，数据量达17 GB。在可能的情况下，合成视频将与它们的原始版本进行匹配。