Note
This is a Hugging Face dataset. Learn how to load datasets from the Hub in the Hugging Face integration docs.
Dataset Card for Urban100#
This is a FiftyOne dataset with 2200 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("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#
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#
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}
}