INRIA Copydays

The Copydays dataset is a set of images which is exclusively composed of our personal holidays photos. Each image has suffered three kinds of artificial attacks: JPEG, cropping and "strong". The motivation is to evaluate the behavior of indexing algorithms for most common image copies (for video, you may be interest in our video copy generation software). Because of its small size, it is evaluated by merging the original images in a large image dabase. The dataset can be downloaded from this page, see details below. The material given includes the images themselves. On request we may also provide the set of descriptors extracted from these images. For the eva/luation, one should ideally use the same sets of distractor images downloaded from Flickr than we used. We can provide them on request. It contains:

Copydays数据集是一组完全由我方个人度假照片构成的图像集合。每张图像均经过三类人工编辑操作：JPEG压缩、裁剪以及“强篡改”。本数据集的研发初衷是评估图像索引算法在处理常见图像副本时的表现（针对视频场景，您可关注我们的视频副本生成软件）。由于该数据集体量较小，通常需将其原始图像并入大型图像数据库后方可开展评估实验。本数据集可通过本页面下载，详细说明见下文。提供的资料包含原始图像文件。若有需求，我们还可提供从这些图像中提取的特征描述符集合。在开展评估实验时，理想情况下应使用与我方实验所用一致的、从Flickr平台下载的干扰图像集合。若有需求，我们可提供该干扰图像集合。该数据集包含以下内容：

搜集汇总

背景与挑战

背景概述

INRIA Copydays数据集是一个用于评估索引算法对常见图像复制行为的数据集，包含经过JPEG压缩、裁剪和强烈攻击处理的个人假期照片。数据集大小为2.3G，包含原始图像、裁剪图像、缩放+JPEG攻击图像和229张强烈攻击图像。