Rijksmuseum Challenge 2014

The Rijksmuseum Challenge 2014 dataset is introduced in our ICMR 2014 paper "The Rijksmuseum Challenge: Museum-Centered Visual Recognition", T. Mensink and J. van Gemert (see details below). The challenge is to apply computer vision techniques on art objects (paintings, sculptures, drawings etc) from the Rijksmuseum (in Amsterdam, the Netherlands).<br>The dataset contains 4 files:- rijksxml.tgz: raw xml files of about 100K objects (paintings, sculptures, drawings)- rijksimg.tar: images belonging to the 100K objects- rijksFV16.mat: Matlab file with Fisher Vectors (as used in our ICMR paper)- rijksgt.mat: Matlab ground-truth file for the 4 challenges<br><b>Baseline classifiers/results</b>The Matlab code for running the four challenges, including our baseline classifiers based on the provided Fisher Vectors can be found at:https://github.com/tmensink/rijkschallenge<br><b>Citation</b>When using this dataset please cite the following paper<br><b>The Rijksmuseum Challenge: Museum-Centered Visual Recognition</b>, Thomas Mensink and Jan van Gemert, <i>ACM International Conference on Multimedia Retrieval (ICMR)</i>, 2014<br><br>@INPROCEEDINGS{mensink14icmr,author = {Thomas Mensink and Jan van Gemert},title = {The Rijksmuseum Challenge: Museum-Centered Visual Recognition},booktitle = {ACM International Conference on Multimedia Retrieval (ICMR)},year = {2014}}<br>See also the link to the pdf file (in the references)<br><b>License and copyright of the images:</b>The images are downloaded using the Public API of the Rijksmuseum. According to their conditions: "All data and all images made available through the API are either in the public domain or are subject to a CC0 license. The data and images are royalty-free and may be copied, distributed, modified and used without the permission of the Rijksmuseum."<br><i>More info on this copyright</i>: https://www.rijksmuseum.nl/en/api/terms-and-conditions-of-use<br><b>Retention Period</b>The retention of the dataset has been set to 10 years after publications (april 2024)本数据集为2014年荷兰国立博物馆（Rijksmuseum）挑战赛数据集，相关介绍见于我们发表于2014年ACM国际多媒体检索会议（ICMR）的论文《荷兰国立博物馆挑战赛：以博物馆为中心的视觉识别》，作者为T. Mensink与J. van Gemert（详细信息见下文）。本次挑战赛的任务为针对位于荷兰阿姆斯特丹的荷兰国立博物馆（Rijksmuseum）馆藏的艺术藏品（涵盖绘画、雕塑、素描等）应用计算机视觉技术。 本数据集包含4个文件： - rijksxml.tgz：约10万件藏品（绘画、雕塑、素描等）的原始XML文件 - rijksimg.tar：对应上述10万件藏品的图像压缩包 - rijksFV16.mat：包含Fisher向量（Fisher Vector）的Matlab数据文件，即我们在ICMR论文中使用的特征向量 - rijksgt.mat：针对四项挑战赛的Matlab格式真实标签（ground-truth）数据文件 **基线分类器与实验结果** 用于运行四项挑战赛的Matlab代码（包括基于上述Fisher向量构建的基线分类器）可于以下地址获取：https://github.com/tmensink/rijkschallenge **引用说明** 若使用本数据集，请引用以下论文： 《荷兰国立博物馆挑战赛：以博物馆为中心的视觉识别》，作者Thomas Mensink与Jan van Gemert，发表于ACM国际多媒体检索会议（ICMR），2014年。 对应的BibTeX引用格式如下： bibtex @INPROCEEDINGS{mensink14icmr, author = {Thomas Mensink and Jan van Gemert}, title = {The Rijksmuseum Challenge: Museum-Centered Visual Recognition}, booktitle = {ACM International Conference on Multimedia Retrieval (ICMR)}, year = {2014} } 亦可参考参考文献中的PDF文件链接。 **图像版权与使用许可** 本数据集图像通过荷兰国立博物馆（Rijksmuseum）公开API下载获取。根据其使用条款："通过该API提供的所有数据与图像，要么属于公有领域，要么采用CC0许可协议。相关数据与图像均免版权费，可在无需荷兰国立博物馆许可的情况下进行复制、分发、修改与使用。" 更多版权相关信息请访问：https://www.rijksmuseum.nl/en/api/terms-and-conditions-of-use **数据集留存期限** 本数据集的留存时长为发表后10年（截至2024年4月）