Dataset Viewer
Auto-converted to Parquet
Search is not available for this dataset
image
imagewidth (px)
14
8.07k
label
class label
2 classes
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
0Civil
End of preview. Expand in Data Studio

Civil_or_Military

Overview 🛬

This dataset, "Civil or Military Aircraft," is a combination of two distinct datasets: the "Commercial Aircraft Classification" and the "Military Aircraft Detection Dataset" sourced from Kaggle. The dataset is divided into two main categories: civil aircraft and military aircraft.

Content

  • Civil Aircraft: This category includes data related to commercial and civilian aircraft, such as passenger planes, cargo planes, and other civilian aviation vehicles.
  • Military Aircraft: This category comprises data pertaining to military aircraft, including fighter jets, bombers, reconnaissance planes, and other military aviation assets.

Dataset Structure

The dataset is structured in a way that facilitates the differentiation between civil and military aircraft. Each entry is labeled accordingly to indicate whether it belongs to the civil or military category.

Usage

Researchers, developers, and enthusiasts in the fields of aviation, machine learning, and image recognition can utilize this dataset for tasks such as aircraft classification, object detection, and image analysis.

Citation

If you use this dataset in your research or projects, please consider citing the original sources of the constituent datasets:

Acknowledgements

We would like to express our gratitude to the creators of the original datasets on Kaggle for providing valuable resources that have enabled the creation of this combined dataset.

Feel free to explore and leverage this dataset for your projects and research endeavors. Happy coding! 🛩️🚁

Downloads last month
61