Datasets:
Tasks:
Image-to-Image
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
File size: 2,515 Bytes
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---
annotations_creators: []
language: en
license: other
size_categories:
- 1K<n<10K
task_categories:
- image-to-image
task_ids: []
pretty_name: Urban100
tags:
- fiftyone
- image
- super-resolution
dataset_summary: >
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2200
samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
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("jamarks/Urban100")
# Launch the App
session = fo.launch_app(dataset)
```
---
# Dataset Card for Urban100
<!-- Provide a quick summary of the dataset. -->
This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2200 samples.
## Installation
If you haven't already, install FiftyOne:
```bash
pip install -U fiftyone
```
## Usage
```python
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("jamarks/Urban100")
# Launch the App
session = fo.launch_app(dataset)
```
## Dataset Details
### Dataset Description
The Urban100 dataset contains 100 images of urban scenes. It commonly used as a test set to evaluate the performance of super-resolution models.
- **Curated by:** Jia-Bin Huang, Abhishek Singh, Narendra Ahuja
- **Language(s) (NLP):** en
- **License:** other
### Dataset Sources
<!-- Provide the basic links for the dataset. -->
- **Repository:** https://github.com/jbhuang0604/SelfExSR
- **Paper:** https://openaccess.thecvf.com/content_cvpr_2015/papers/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.pdf
- **Demo:** https://try.fiftyone.ai/datasets/urban100/samples
## Citation
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
```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}
}
```
## Dataset Card Authors
[Jacob Marks](https://huggingface.co/jamarks)
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