Voxel51/Urban100
收藏资源简介：
--- annotations_creators: [] language: en license: other size_categories: - 1K<n<10K task_categories: - image-to-image task_ids: [] pretty_name: Urban100 tags: - fiftyone - image - super-resolution dataset_summary: >  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2200 samples. ## Installation If you haven't already, install FiftyOne: ```bash pip install -U fiftyone ``` ## Usage ```python import fiftyone as fo import fiftyone.utils.huggingface as fouh # Load the dataset # Note: other available arguments include 'max_samples', etc dataset = fouh.load_from_hub("jamarks/Urban100") # Launch the App session = fo.launch_app(dataset) ``` --- # Dataset Card for Urban100 <!-- Provide a quick summary of the dataset. -->  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2200 samples. ## Installation If you haven't already, install FiftyOne: ```bash pip install -U fiftyone ``` ## Usage ```python import fiftyone as fo import fiftyone.utils.huggingface as fouh # Load the dataset # Note: other available arguments include 'max_samples', etc dataset = fouh.load_from_hub("jamarks/Urban100") # Launch the App session = fo.launch_app(dataset) ``` ## Dataset Details ### Dataset Description The Urban100 dataset contains 100 images of urban scenes. It commonly used as a test set to evaluate the performance of super-resolution models. - **Curated by:** Jia-Bin Huang, Abhishek Singh, Narendra Ahuja - **Language(s) (NLP):** en - **License:** other ### Dataset Sources <!-- Provide the basic links for the dataset. --> - **Repository:** https://github.com/jbhuang0604/SelfExSR - **Paper:** https://openaccess.thecvf.com/content_cvpr_2015/papers/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.pdf - **Demo:** https://try.fiftyone.ai/datasets/urban100/samples ## Citation <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** ```bibtex @InProceedings{Huang_2015_CVPR, author = {Huang, Jia-Bin and Singh, Abhishek and Ahuja, Narendra}, title = {Single Image Super-Resolution From Transformed Self-Exemplars}, booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2015} } ``` ## Dataset Card Authors [Jacob Marks](https://huggingface.co/jamarks)
annotations_creators: [] language: en license: other size_categories: - 1K<n<10K task_categories: - image-to-image task_ids: [] pretty_name: Urban100 tags: - fiftyone - image - 超分辨率（super-resolution） dataset_summary: >  这是一个包含2200个样本的FiftyOne数据集，其官方仓库为https://github.com/voxel51/fiftyone。 ## 安装 若尚未安装FiftyOne，请执行以下命令： bash pip install -U fiftyone ## 使用方法 python import fiftyone as fo import fiftyone.utils.huggingface as fouh # 加载数据集 # 注：其他可用参数包括max_samples等 dataset = fouh.load_from_hub("jamarks/Urban100") # 启动应用 session = fo.launch_app(dataset) --- # Urban100 数据集卡片 <!-- 请简要概述该数据集。 -->  这是一个包含2200个样本的FiftyOne数据集。 ## 安装 若尚未安装FiftyOne，请执行以下命令： bash pip install -U fiftyone ## 使用方法 python import fiftyone as fo import fiftyone.utils.huggingface as fouh # 加载数据集 # 注：其他可用参数包括max_samples等 dataset = fouh.load_from_hub("jamarks/Urban100") # 启动应用 session = fo.launch_app(dataset) ## 数据集详情 ### 数据集描述 Urban100数据集包含100幅城市场景图像，常被用作评估超分辨率（super-resolution）模型性能的测试集。 - **整理者：** 黄佳斌（Jia-Bin Huang）、Abhishek Singh、Narendra Ahuja - **自然语言处理语言：** 英语 - **许可证：** 其他 ### 数据集来源 <!-- 请提供该数据集的基础链接信息。 --> - **代码仓库：** https://github.com/jbhuang0604/SelfExSR - **学术论文：** https://openaccess.thecvf.com/content_cvpr_2015/papers/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.pdf - **演示页面：** https://try.fiftyone.ai/datasets/urban100/samples ## 引用信息 <!-- 若该数据集对应介绍论文或博客文章，请在此处提供其APA与BibTeX引用信息。 --> **BibTeX格式：** bibtex @InProceedings{Huang_2015_CVPR, author = {Huang, Jia-Bin and Singh, Abhishek and Ahuja, Narendra}, title = {Single Image Super-Resolution From Transformed Self-Exemplars}, booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2015} } ## 数据集卡片作者 [Jacob Marks](https://huggingface.co/jamarks)
数据集概述
基本信息
- 名称: Urban100
- 样本数量: 2200
- 语言: 英文
- 许可证: 其他
- 大小: 1K<n<10K
- 任务类别: 图像到图像
- 标签: fiftyone, 图像, 超分辨率
数据集描述
Urban100 数据集包含100张城市景观图像，常用于评估超分辨率模型的性能。
数据集来源
- 仓库: https://github.com/jbhuang0604/SelfExSR
- 论文: https://openaccess.thecvf.com/content_cvpr_2015/papers/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.pdf
- 演示: https://try.fiftyone.ai/datasets/urban100/samples
引用信息
bibtex @InProceedings{Huang_2015_CVPR, author = {Huang, Jia-Bin and Singh, Abhishek and Ahuja, Narendra}, title = {Single Image Super-Resolution From Transformed Self-Exemplars}, booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2015} }
