Castro Maikol, Ballesteros Dora M, Renza Diego
Universidad Militar Nueva Granada, Colombia.
Data Brief. 2019 Nov 21;28:104864. doi: 10.1016/j.dib.2019.104864. eCollection 2020 Feb.
This paper presents the CG-1050 dataset consisting of 100 original images, 1050 tampered images and their corresponding masks. The dataset is organized into four directories: images, images, images, and a file. The directory of original images includes 15 color and 85 grayscale images. The directory of tampered images has 1050 images obtained through one of the following type of tampering: , , , and . The true mask between every pair of original and its tampered image is included in the mask directory (1380 masks). The description file shows the names of the images (i.e., original, tampered and mask), the image description, the photo location, the type of tampering, and the manipulated object in the image. With this dataset, the researchers can train and validate fake image classification methods, either for labelling the tampered image or for forgery pixel-detection.
本文介绍了CG - 1050数据集，该数据集由100张原始图像、1050张篡改图像及其相应的掩码组成。该数据集被组织成四个目录：图像目录、图像目录、图像目录和一个描述文件。原始图像目录包括15张彩色图像和85张灰度图像。篡改图像目录有1050张通过以下一种篡改类型获得的图像：[此处原文缺失具体篡改类型内容]。每对原始图像及其篡改图像之间的真实掩码包含在掩码目录中（共1380个掩码）。描述文件显示了图像的名称（即原始图像、篡改图像和掩码）、图像描述、照片位置、篡改类型以及图像中的被操作对象。利用这个数据集，研究人员可以训练和验证用于标记篡改图像或伪造像素检测的假图像分类方法。
