Voxel51/Set5

Dataset Card for Set5

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This is a FiftyOne dataset with 135 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

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("Voxel51/Set5")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

The Set5 dataset is a dataset consisting of 5 images (“baby”, “bird”, “butterfly”, “head”, “woman”) commonly used for testing performance of Image Super-Resolution models.

• —Curated by: Bevilacqua, Marco and Roumy, Antoine and Guillemot, Christine and Alberi-Morel, Marie-Line
• —Language(s) (NLP): en
• —License: other

Dataset Sources

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• —Repository: https://github.com/ChaofWang/Awesome-Super-Resolution/blob/master/dataset.md
• —Paper: Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding
• —Homepage: https://people.rennes.inria.fr/Aline.Roumy/results/SR_BMVC12.html

Uses

Super-resolution

Dataset Creation

Citation

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BibTeX:

@inproceedings{bevilacqua2012low,
  title={Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding},
  author={Bevilacqua, Marco and Roumy, Antoine and Guillemot, Christine and Alberi-Morel, Marie-Line},
  booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
  year={2012}
}

Dataset Card Author

Jacob Marks