<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>GenImage</dcterms:title><dcterms:identifier>https://doi.org/10.7910/DVN/AKDIHF</dcterms:identifier><dcterms:creator>Author, Anonymous</dcterms:creator><dcterms:publisher>Harvard Dataverse</dcterms:publisher><dcterms:issued>2024-03-22</dcterms:issued><dcterms:modified>2024-03-22T16:33:26Z</dcterms:modified><dcterms:description>You can find an easy to use download script here: &lt;br>
https://www.unbiased-genimage.org
&lt;br>&lt;br>
This is an easy to use download of the GenImage dataset for AI-generated image detection. We provide this download, since the original GenImage download at Baidu is hard to use from countries outside of Asia. 
&lt;br>&lt;br>
GenImage: 
https://genimage-dataset.github.io/
&lt;br>&lt;br>
The dataset corresponds to our paper "Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets" 
https://www.unbiased-genimage.org
&lt;br>&lt;br>
We added a metadata CSV which contains additional information to the original GenImage download, such as JPEG quality factor or content class ID. 
&lt;br>&lt;br>
We removed 17 corrupted files from the original download, as listed in corrupted_files.txt
&lt;br>&lt;br></dcterms:description><dcterms:subject>Computer and Information Science</dcterms:subject><dcterms:subject>Deepfake Detection</dcterms:subject><dcterms:isReferencedBy>@article{zhu2024genimage,
  title={Genimage: A million-scale benchmark for detecting ai-generated image},
  author={Zhu, Mingjian and Chen, Hanting and Yan, Qiangyu and Huang, Xudong and Lin, Guanyu and Li, Wei and Tu, Zhijun and Hu, Hailin and Hu, Jie and Wang, Yunhe},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  year={2024}
}</dcterms:isReferencedBy><dcterms:date>2024-03-22</dcterms:date><dcterms:contributor>Author, Anonymous</dcterms:contributor><dcterms:dateSubmitted>2024-03-07</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>