aircraft_skin_defects Computer Vision Project
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 is aimed as a repo of such images for future use as well. Please feel free to use it for your own custom model or you can use the pretrained model. Kindly cite requisite credits to the author while using it.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Connect Your Model With Program Logic
Find utilities and guides to help you start using the aircraft_skin_defects project in your project.
