Document Liveness Challenge (DLC-2021) - part 2 (re)

Dataset DLC-2021 consists of 1424 video clips captured in a wide range of real-world conditions and focused on ID document forensics tasks. Each clip was shot vertically and was at least 5 seconds long. Frames extracted at 10 frames per second and for the 50 first extracted frames document position is manually annotated.<br> The novelty of the dataset is that it contains shots from video with color laminated mock ID documents, color unlaminated copies, grayscale unlaminated copies, and screen recaptures of the documents. The proposed dataset complies with the GDPR because it contains images of synthetic IDs with generated owner photos and artificial personal information. Part 1 contains videos, frames and markup for “original” laminated documents from MIDV-2020 collection and unlaminated gray copies. <br> Part 2 contains videos, frames and markup for documents recaptured from device screen<br> Part 3 contains videos, frames and markup for unlaminated color copies. <strong>Share and Cite</strong> <em>MDPI and ACS Style</em> Polevoy, D.V.; Sigareva, I.V.; Ershova, D.M.; Arlazarov, V.V.; Nikolaev, D.P.; Ming, Z.; Luqman, M.M.; Burie, J.-C. Document Liveness Challenge Dataset (DLC-2021). <em>J. Imaging</em> <strong>2022</strong>, <em>8</em>, 181. https://doi.org/10.3390/jimaging8070181 <em>AMA Style</em> Polevoy DV, Sigareva IV, Ershova DM, Arlazarov VV, Nikolaev DP, Ming Z, Luqman MM, Burie J-C. Document Liveness Challenge Dataset (DLC-2021). <em>Journal of Imaging</em>. 2022; 8(7):181. https://doi.org/10.3390/jimaging8070181 <em>Chicago/Turabian Style</em> Polevoy, Dmitry V., Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad M. Luqman, and Jean-Christophe Burie. 2022. "Document Liveness Challenge Dataset (DLC-2021)" <em>Journal of Imaging</em> 8, no. 7: 181. https://doi.org/10.3390/jimaging8070181DLC-2021数据集包含1424段视频片段，采集自多样化真实应用场景，聚焦于身份证件取证（ID document forensics）任务。所有视频片段均采用竖屏拍摄，时长不低于5秒。我们以每秒10帧的速率提取视频帧，并对前50帧中的身份证件位置进行人工标注。 本数据集的创新之处在于，其涵盖的视频素材包含彩色覆膜仿真身份证件、彩色无覆膜复印件、灰度无覆膜复印件以及屏幕翻拍的身份证件画面。 本数据集符合《通用数据保护条例》(General Data Protection Regulation, GDPR)，因为其仅包含带有生成式持有者照片与人工虚构个人信息的合成身份证件图像。 第一部分包含源自MIDV-2020数据集的“原版”覆膜身份证件、无覆膜灰度复印件的视频、提取帧与标注信息。 第二部分包含设备屏幕翻拍身份证件的视频、提取帧与标注信息。 第三部分包含无覆膜彩色复印件的视频、提取帧与标注信息。 **分享与引用** *MDPI与ACS格式* Polevoy, D.V.; Sigareva, I.V.; Ershova, D.M.; Arlazarov, V.V.; Nikolaev, D.P.; Ming, Z.; Luqman, M.M.; Burie, J.-C. 文档活体挑战数据集（DLC-2021）。*J. Imaging*，2022，8，181。https://doi.org/10.3390/jimaging8070181 *AMA格式* Polevoy DV, Sigareva IV, Ershova DM, Arlazarov VV, Nikolaev DP, Ming Z, Luqman MM, Burie J-C. 文档活体挑战数据集（DLC-2021）。*Journal of Imaging*。2022; 8(7):181。https://doi.org/10.3390/jimaging8070181 *Chicago/Turabian格式* Polevoy, Dmitry V., Irina V. Sigareva, Daria M. Ershova, Vladimir V. Arlazarov, Dmitry P. Nikolaev, Zuheng Ming, Muhammad M. Luqman, 及Jean-Christophe Burie。2022年。“文档活体挑战数据集（DLC-2021）”*Journal of Imaging* 第8卷第7期：181。https://doi.org/10.3390/jimaging8070181