Urban100

Tasks:

Other

Tags:

other-image-super-resolution

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

The dataset viewer is not available for this dataset.

Cannot get the config names for the dataset.

Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found Urban100.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1177, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found Urban100.py

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Dataset Card for Urban100

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) in the paper "Single Image Super-Resolution From Transformed Self-Exemplars".

Install with pip:

pip install datasets super-image

Evaluate a model with the super-image library:

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 leaderboard for:

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)

Licensing Information

The dataset provided uses images from Flikr under the CC (CC-BY-4.0) license.

Citation Information

@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 for adding this dataset.

Downloads last month: 27

openaccess.thecvf.com