| --- |
| annotations_creators: |
| - machine-generated |
| language_creators: |
| - found |
| language: [] |
| license: |
| - cc-by-4.0 |
| multilinguality: |
| - monolingual |
| size_categories: |
| - unknown |
| source_datasets: |
| - original |
| task_categories: |
| - other |
| task_ids: [] |
| pretty_name: Urban100 |
| tags: |
| - other-image-super-resolution |
| --- |
| |
| # Dataset Card for Urban100 |
|
|
| ## Table of Contents |
| - [Table of Contents](#table-of-contents) |
| - [Dataset Description](#dataset-description) |
| - [Dataset Summary](#dataset-summary) |
| - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
| - [Languages](#languages) |
| - [Dataset Structure](#dataset-structure) |
| - [Data Instances](#data-instances) |
| - [Data Fields](#data-fields) |
| - [Data Splits](#data-splits) |
| - [Dataset Creation](#dataset-creation) |
| - [Curation Rationale](#curation-rationale) |
| - [Source Data](#source-data) |
| - [Annotations](#annotations) |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) |
| - [Considerations for Using the Data](#considerations-for-using-the-data) |
| - [Social Impact of Dataset](#social-impact-of-dataset) |
| - [Discussion of Biases](#discussion-of-biases) |
| - [Other Known Limitations](#other-known-limitations) |
| - [Additional Information](#additional-information) |
| - [Dataset Curators](#dataset-curators) |
| - [Licensing Information](#licensing-information) |
| - [Citation Information](#citation-information) |
| - [Contributions](#contributions) |
|
|
| ## Dataset Description |
|
|
| - **Homepage**: https://github.com/jbhuang0604/SelfExSR |
| - **Repository**: https://huggingface.co/datasets/eugenesiow/Urban100 |
| - **Paper**: https://openaccess.thecvf.com/content_cvpr_2015/html/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.html |
| - **Leaderboard**: https://github.com/eugenesiow/super-image#scale-x2 |
|
|
| ### Dataset Summary |
|
|
| The Urban100 dataset contains 100 images of urban scenes. It commonly used as a test set to evaluate the performance of super-resolution models. It was first published by [Huang et al. (2015)](https://openaccess.thecvf.com/content_cvpr_2015/html/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.html) in the paper "Single Image Super-Resolution From Transformed Self-Exemplars". |
|
|
| Install with `pip`: |
| ```bash |
| pip install datasets super-image |
| ``` |
|
|
| Evaluate a model with the [`super-image`](https://github.com/eugenesiow/super-image) library: |
| ```python |
| from datasets import load_dataset |
| from super_image import EdsrModel |
| from super_image.data import EvalDataset, EvalMetrics |
| |
| dataset = load_dataset('eugenesiow/Urban100', 'bicubic_x2', split='validation') |
| eval_dataset = EvalDataset(dataset) |
| model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2) |
| EvalMetrics().evaluate(model, eval_dataset) |
| ``` |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| The dataset is commonly used for evaluation of the `image-super-resolution` task. |
|
|
| Unofficial [`super-image`](https://github.com/eugenesiow/super-image) leaderboard for: |
| - [Scale 2](https://github.com/eugenesiow/super-image#scale-x2) |
| - [Scale 3](https://github.com/eugenesiow/super-image#scale-x3) |
| - [Scale 4](https://github.com/eugenesiow/super-image#scale-x4) |
| - [Scale 8](https://github.com/eugenesiow/super-image#scale-x8) |
|
|
| ### Languages |
|
|
| Not applicable. |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| An example of `validation` for `bicubic_x2` looks as follows. |
| ``` |
| { |
| "hr": "/.cache/huggingface/datasets/downloads/extracted/Urban100_HR/img_001.png", |
| "lr": "/.cache/huggingface/datasets/downloads/extracted/Urban100_LR_x2/img_001.png" |
| } |
| ``` |
|
|
| ### Data Fields |
|
|
| The data fields are the same among all splits. |
|
|
| - `hr`: a `string` to the path of the High Resolution (HR) `.png` image. |
| - `lr`: a `string` to the path of the Low Resolution (LR) `.png` image. |
|
|
| ### Data Splits |
|
|
| | name |validation| |
| |-------|---:| |
| |bicubic_x2|100| |
| |bicubic_x3|100| |
| |bicubic_x4|100| |
| |
| |
| ## Dataset Creation |
| |
| ### Curation Rationale |
| |
| The authors have created Urban100 containing 100 HR images with a variety of real-world structures. |
| |
| ### Source Data |
| |
| #### Initial Data Collection and Normalization |
| |
| The authors constructed this dataset using images from Flickr (under CC license) using keywords such as urban, city, architecture, and structure. |
| |
| #### Who are the source language producers? |
| |
| [More Information Needed] |
| |
| ### Annotations |
| |
| #### Annotation process |
| |
| No annotations. |
| |
| #### Who are the annotators? |
| |
| No annotators. |
| |
| ### Personal and Sensitive Information |
| |
| [More Information Needed] |
| |
| ## Considerations for Using the Data |
| |
| ### Social Impact of Dataset |
| |
| [More Information Needed] |
| |
| ### Discussion of Biases |
| |
| [More Information Needed] |
| |
| ### Other Known Limitations |
| |
| [More Information Needed] |
| |
| ## Additional Information |
| |
| ### Dataset Curators |
| |
| - **Original Authors**: [Huang et al. (2015)](https://github.com/jbhuang0604/SelfExSR) |
| |
| ### Licensing Information |
| |
| The dataset provided uses images from Flikr under the CC (CC-BY-4.0) license. |
| |
| ### Citation Information |
| |
| ```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} |
| } |
| ``` |
| |
| ### Contributions |
| |
| Thanks to [@eugenesiow](https://github.com/eugenesiow) for adding this dataset. |
| |
