Eugene Siow commited on
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+ ---
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+ annotations_creators:
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+ - machine-generated
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+ language_creators:
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+ - found
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+ languages: []
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+ licenses:
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+ - other-academic-use
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+ multilinguality:
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+ - monolingual
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+ pretty_name: Set5
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+ size_categories:
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+ - unknown
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - other
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+ task_ids:
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+ - other-other-image-super-resolution
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+ ---
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+
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+ # Dataset Card for Set5
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage**: http://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html
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+ - **Repository**: https://huggingface.co/datasets/eugenesiow/Set5
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+ - **Paper**: http://people.rennes.inria.fr/Aline.Roumy/publi/12bmvc_Bevilacqua_lowComplexitySR.pdf
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+ - **Leaderboard**: https://github.com/eugenesiow/super-image#scale-x2
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+
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+ ### Dataset Summary
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+
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+ 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”).
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+
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+ Install with `pip`:
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+ ```bash
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+ pip install datasets super-image
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+ ```
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+
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+ Evaluate a model with the [`super-image`](https://github.com/eugenesiow/super-image) library:
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+ ```python
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+ from datasets import load_dataset
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+ from super_image import EdsrModel
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+ from super_image.data import EvalDataset, EvalMetrics
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+
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+ dataset = load_dataset('eugenesiow/Set5', 'bicubic_x2', split='validation')
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+ eval_dataset = EvalDataset(dataset)
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+ model = EdsrModel.from_pretrained('eugenesiow/edsr-base', scale=2)
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+ EvalMetrics().evaluate(model, eval_dataset)
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+ ```
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ The dataset is commonly used for evaluation of the `image-super-resolution` task.
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+
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+ Unofficial [`super-image`](https://github.com/eugenesiow/super-image) leaderboard for:
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+ - [Scale 2](https://github.com/eugenesiow/super-image#scale-x2)
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+ - [Scale 3](https://github.com/eugenesiow/super-image#scale-x3)
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+ - [Scale 4](https://github.com/eugenesiow/super-image#scale-x4)
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+ - [Scale 8](https://github.com/eugenesiow/super-image#scale-x8)
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+
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+ ### Languages
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+
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+ Not applicable.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ An example of `validation` for `bicubic_x2` looks as follows.
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+ ```
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+ {
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+ "hr": "/.cache/huggingface/datasets/downloads/extracted/Set5_HR/baby.png",
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+ "lr": "/.cache/huggingface/datasets/downloads/extracted/Set5_LR_x2/baby.png"
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ The data fields are the same among all splits.
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+
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+ - `hr`: a `string` to the path of the High Resolution (HR) `.png` image.
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+ - `lr`: a `string` to the path of the Low Resolution (LR) `.png` image.
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+
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+ ### Data Splits
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+
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+ | name |validation|
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+ |-------|---:|
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+ |bicubic_x2|5|
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+ |bicubic_x3|5|
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+ |bicubic_x4|5|
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+
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ No annotations.
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+
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+ #### Who are the annotators?
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+
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+ No annotators.
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Social Impact of Dataset
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+
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+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
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+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ - **Original Authors**: [Bevilacqua et al.](http://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html)
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+
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+ ### Licensing Information
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+
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+ Unknown.
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+
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+ ### Citation Information
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+
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+ ```bibtex
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+ @article{bevilacqua2012low,
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+ title={Low-complexity single-image super-resolution based on nonnegative neighbor embedding},
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+ author={Bevilacqua, Marco and Roumy, Aline and Guillemot, Christine and Alberi-Morel, Marie Line},
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+ year={2012},
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+ publisher={BMVA press}
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Thanks to [@eugenesiow](https://github.com/eugenesiow) for adding this dataset.
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