README.md

---
license: cc-by-sa-4.0
task_categories:
- image-classification
language:
- en
pretty_name: xView Subset for Image Classification
size_categories:
- n<1K
---
# Dataset Card for Dataset Name

Modified version of the xView Satellite Imagery dataset for the purposes of demonstrating image classification models.

## Disclaimer
This dataset is a modified version of the xView dataset produced as a collaboration between the Defense Innovation Unit Experimental (DIUx) and the National Geospatial-Intelligence Agency (NGA).   The dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0). The modifications made to the original dataset are as follows: a selection of image regions labeled with bounding boxes were extracted to their own image files along with corresponding object labels in order to produce an image classification dataset.

## Atribution
xView by the Defense Innovation Unit Experimental (DIUx) and the National Geospatial-Intelligence Agency (NGA), used under CC BY-NC-SA 4.0. The original dataset can be found at https://challenge.xviewdataset.org/data-download
This modified dataset is provided for non-commercial use only. Any use or distribution of this dataset must also adhere to the CC BY-NC-SA 4.0 license terms.
For a full copy of the license, please visit https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.en

## Dataset Details

### Dataset Description

The original xView dataset is one of the largest publicly available dataset of overhead imagery sourced from across the world. It was originally designed as an object detection dataset with the inclusion of annotated bounding boxes of image elements.
This modified version of the dataset has been preprocessed to extract the portions of the imagery contained in labeled bounding boxes, as well as accompanying labels. This allows the use of the data for image classification purposes.

- **Original Dataset Curated by:** Defense Innovation Unit Experimental (DIUx) and the National Geospatial-intelligence Agency (NGA)
- **License:** Creative Commons Attribution Share Alike 4.0

### Dataset Sources

- **Repository:** https://challenge.xviewdataset.org/data-download
- **Paper:** https://arxiv.org/abs/1802.07856

## Uses

This small, preprocessed portion of the original xView dataset is intended to be used for the evaluation of image classification models trained on overhead satellite imagery.

### Out-of-Scope Use

In accordance with the licensing of the data, this dataset should not be used for commercial purposes.

## Citation

**BibTeX:**

@misc{lam2018xview,
      title={xView: Objects in Context in Overhead Imagery}, 
      author={Darius Lam and Richard Kuzma and Kevin McGee and Samuel Dooley and Michael Laielli and Matthew Klaric and Yaroslav Bulatov and Brendan McCord},
      year={2018},
      eprint={1802.07856},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}