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收藏Mendeley Data2024-03-27 更新2024-06-28 收录
下载链接：
http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/9688
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链接失效反馈资源简介：
Datasets: DS0: Study-Level Files DS1: Alabama Main Data File DS2: Alaska Main Data File DS4: Arizona Main Data File DS5: Arkansas Main Data File DS6: California Main Data File DS8: Colorado Main Data File DS9: Connecticut Main Data File DS10: Delaware Main Data File DS11: District of Columbia Main Data File DS12: Florida Main Data File DS13: Georgia Main Data File DS15: Hawaii Main Data File DS16: Idaho Main Data File DS17: Illinois Main Data File DS18: Indiana Main Data File DS19: Iowa Main Data File DS20: Kansas Main Data File DS21: Kentucky Main Data File DS22: Louisiana Main Data File DS23: Maine Main Data File DS24: Maryland Main Data File DS25: Massachusetts Main Data File DS26: Michigan Main Data File DS27: Minnesota Main Data File DS28: Mississippi Main Data File DS29: Missouri Main Data File DS30: Montana Main Data File DS31: Nebraska Main Data File DS32: Nevada Main Data File DS33: New Hampshire Main Data File DS34: New Jersey Main Data File DS35: New Mexico Main Data File DS36: New York Main Data File DS37: North Carolina Main Data File DS38: North Dakota Main Data File DS39: Ohio Main Data File DS40: Oklahoma Main Data File DS41: Oregon Main Data File DS42: Pennsylvania Main Data File DS44: Rhode Island Main Data File DS45: South Carolina Main Data File DS46: South Dakota Main Data File DS47: Tennessee Main Data File DS48: Texas Main Data File DS49: Utah Main Data File DS50: Vermont Main Data File DS51: Virginia Main Data File DS53: Washington Main Data File DS54: West Virginia Main Data File DS55: Wisconsin Main Data File DS56: Wyoming Main Data File DS72: Puerto Rico Main Data File DS82: SPSS Data Definition Statements for Main Data Files DS83: SAS Data Definition Statements for Main Data Files DS84: SPSS Data Definition Statements for Geographic Header Files DS85: SAS Data Definition Statements for Geographic Header Files DS101: Alabama Geographic Header File DS102: Alaska Geographic Header File DS104: Arizona Geographic Header File DS105: Arkansas Geographic Header File DS106: California Geographic Header File DS108: Colorado Geographic Header File DS109: Connecticut Geographic Header File DS110: Delaware Geographic Header File DS111: District of Columbia Geographic Header File DS112: Florida Geographic Header File DS113: Georgia Geographic Header File DS115: Hawaii Geographic Header File DS116: Idaho Geographic Header File DS117: Illinois Geographic Header File DS118: Indiana Geographic Header File DS119: Iowa Geographic Header File DS120: Kansas Geographic Header File DS121: Kentucky Geographic Header File DS122: Louisiana Geographic Header File DS123: Maine Geographic Header File DS124: Maryland Geographic Header File DS125: Massachusetts Geographic Header File DS126: Michigan Geographic Header File DS127: Minnesota Geographic Header File DS128: Mississippi Geographic Header File DS129: Missouri Geographic Header File DS130: Montana Geographic Header File DS131: Nebraska Geographic Header File DS132: Nevada Geographic Header File DS133: New Hampshire Geographic Header File DS134: New Jersey Geographic Header File DS135: New Mexico Geographic Header File DS136: New York Geographic Header File DS137: North Carolina Geographic Header File DS138: North Dakota Geographic Header File DS139: Ohio Geographic Header File DS140: Oklahoma Geographic Header File DS141: Oregon Geographic Header File DS142: Pennsylvania Geographic Header File DS144: Rhode Island Geographic Header File DS145: South Carolina Geographic Header File DS146: South Dakota Geographic Header File DS147: Tennessee Geographic Header File DS148: Texas Geographic Header File DS149: Utah Geographic Header File DS150: Vermont Geographic Header File DS151: Virginia Geographic Header File DS153: Washington Geographic Header File DS154: West Virginia Geographic Header File DS155: Wisconsin Geographic Header File DS156: Wyoming Geographic Header File DS172: Puerto Rico Geographic Header File
创建时间：
2023-06-28
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displayName: DIV2K labelTypes: [] license: - DIV2K Custom mediaTypes: - Image paperUrl: https://doi.org/10.1109/CVPRW.2017.150 publishDate: "2017" publishUrl: https://data.vision.ee.ethz.ch/cvl/DIV2K/ publisher: - ETH Zurich tags: - RGB Image taskTypes: - Image Super-resolution --- # 数据集介绍 ## 简介 DIV2K数据集分为: 列车数据: 从800高清高分辨率图像开始，我们获得相应的低分辨率图像，并为2、3和4个降尺度因子提供高分辨率和低分辨率图像 验证数据: 100高清晰度高分辨率图像用于生成低分辨率对应图像，低分辨率从挑战开始提供，并用于参与者从验证服务器获得在线反馈; 当挑战的最后阶段开始时，高分辨率图像将被释放。 测试数据: 100多样的图像用于生成低分辨率的相应图像; 参与者将在最终评估阶段开始时收到低分辨率图像，并在挑战结束并确定获胜者后宣布结果。 ## 引文 ``` @inproceedings{agustsson2017ntire, title={Ntire 2017 challenge on single image super-resolution: Dataset and study}, author={Agustsson, Eirikur and Timofte, Radu}, booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition workshops}, pages={126--135}, year={2017} } ``` ## Download dataset :modelscope-code[]{type="git"}
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