| --- |
| annotations_creators: |
| - machine-generated |
| language_creators: |
| - found |
| language: [] |
| license: |
| - other |
| multilinguality: |
| - monolingual |
| size_categories: |
| - unknown |
| source_datasets: |
| - original |
| task_categories: |
| - other |
| task_ids: [] |
| pretty_name: Set5 |
| tags: |
| - other-image-super-resolution |
| --- |
| |
| # Dataset Card for Set5 |
|
|
| ## 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**: http://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html |
| - **Repository**: https://huggingface.co/datasets/eugenesiow/Set5 |
| - **Paper**: http://people.rennes.inria.fr/Aline.Roumy/publi/12bmvc_Bevilacqua_lowComplexitySR.pdf |
| - **Leaderboard**: https://github.com/eugenesiow/super-image#scale-x2 |
| |
| ### Dataset Summary |
| |
| Set5 is a evaluation dataset with 5 RGB images for the image super resolution task. The 5 images of the dataset are (“baby”, “bird”, “butterfly”, “head”, “woman”). |
| |
| 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/Set5', '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/Set5_HR/baby.png", |
| "lr": "/.cache/huggingface/datasets/downloads/extracted/Set5_LR_x2/baby.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|5| |
| |bicubic_x3|5| |
| |bicubic_x4|5| |
| |
| |
| ## Dataset Creation |
| |
| ### Curation Rationale |
| |
| [More Information Needed] |
| |
| ### Source Data |
| |
| #### Initial Data Collection and Normalization |
| |
| [More Information Needed] |
| |
| #### 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**: [Bevilacqua et al.](http://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html) |
| |
| ### Licensing Information |
| |
| Academic use only. |
| |
| ### Citation Information |
| |
| ```bibtex |
| @article{bevilacqua2012low, |
| title={Low-complexity single-image super-resolution based on nonnegative neighbor embedding}, |
| author={Bevilacqua, Marco and Roumy, Aline and Guillemot, Christine and Alberi-Morel, Marie Line}, |
| year={2012}, |
| publisher={BMVA press} |
| } |
| ``` |
| |
| ### Contributions |
| |
| Thanks to [@eugenesiow](https://github.com/eugenesiow) for adding this dataset. |
| |
