FOD Computer Vision Project
Updated 3 months ago
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Foreign Object Debris (FOD) is a persistent challenge in the aviation industry and can damage aircraft engines, tires, and critical components, and endanger the safety of flight operations. Manual inspections and rudimentary cleaning methods have been used to mitigate FOD risks. These methods have limitations, such as being labor-intensive and time-consuming. The intersection of aviation and technology has led to groundbreaking advancements in FOD management. These advancements include the use of high-resolution imaging and machine learning algorithms. The new FOD management methods promise heightened safety and enhanced operational efficiency hence reducing delays caused by FOD-related incidents.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fod-i2kfx_dataset,
title = { FOD Dataset },
type = { Open Source Dataset },
author = { FOREIGNOBJECTAERODROMES },
howpublished = { \url{ https://universe.roboflow.com/foreignobjectaerodromes/fod-i2kfx } },
url = { https://universe.roboflow.com/foreignobjectaerodromes/fod-i2kfx },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-11-23 },
}