chenkeshuai / fod-data

A dataset of foreign object debris (FOD) designed for computer vision applications.

Foreign Object Debris in Airports (FOD-A) Dataset Overview

The FOD-A dataset consists of images of common Foreign Object Debris (FOD) with a runway or taxiway background. While the main annotation style consists of bounding boxes, FOD-A also includes seperate light-level and weather categorization annotations. FOD-A is designed to be easily expanded using a command-line tool developed alongside the dataset. The instructions for this process are contained in a pdf file included in this repository.

Download

Most Current Version Download

FOD-A Version 2.1 original format (8.3 gb) 400x400 image size.
FOD-A Version 2.1 Pascal VOC format (412 mb) 300x300 image size.

Previous FOD-A Version Download

FOD-A Version 2.0 original format (9.1 gb) 400x400 image size.
FOD-A Version 2.0 Pascal VOC format (434 mb) 300x300 image size.

FOD-A Version 1.0 original format (3.8 gb) - 400x400 image size.
FOD-A Version 1.0 Pascal VOC format (146 mb) 300x300 image size.

Citation

If you find this dataset beneficial to your work, consider citing the paper:

Travis Munyer, Pei-Chi Huang, Chenyu Huang, and Xin Zhong. 2021. FOD-A: A Dataset for Foreign Object Debris in Airports. https://arxiv.org/abs/2110.03072

Travis Munyer, Daniel Brinkman, Chenyu Huang, and Xin Zhong. 2021. Integrative Use of Computer Vision and Unmanned Aircraft Technologies in Public Inspection: Foreign Object Debris Image Collection. arXiv: https://arxiv.org/abs/2106.00161