aircraft skin defects (merged) Computer Vision Project
DDIISc
Updated 2 years ago
Description
This is a custom dataset created with manually clicked photographs of 3 different types of aircraft. The images are labelled for 5 different classes of surface defects on aircraft skin viz.
- Crack
- Dent
- Scratch
- Paint-peel-off
- Missing-head (rivets, fastners, screws etc)
The dataset consists of total 372 images with distribution as follows: Hawker Hunter - 276 HT2 - 70 Pushpak - 76
The dataset has been created for implementation as part of M.Tech (AI) thesis of the author at IISc, Bengaluru.
Note: The author couldn't find any detailed / relevant dataset available on the internet. Thus this dataset aims at providing a readymade repo of such images for future use as well. Please feel free to use the images for your own model by citing the requisite credits to the author.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
aircraft-skin-defects-merged_dataset,
title = { aircraft skin defects (merged) Dataset },
type = { Open Source Dataset },
author = { DDIISc },
howpublished = { \url{ https://universe.roboflow.com/ddiisc/aircraft-skin-defects-merged } },
url = { https://universe.roboflow.com/ddiisc/aircraft-skin-defects-merged },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-23 },
}