AircraftRefuellingAdaptorLocalisation.v3i.coco.zip (122.18 MB)
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Data supporting: 'Autonomous Ground Refuelling Approach for Civil Aircrafts using Computer Vision and Robotics'

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posted on 15.08.2022, 08:05 authored by Suleyman YildirimSuleyman Yildirim


AircraftRefuellingAdaptorLocalisation - v3 2022-03-15 12:35pm

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It includes 881 images.

Letters are annotated in COCO format.


The following pre-processing was applied to each image:


The following augmentation was applied to create 3 versions of each source image:

* 50% probability of horizontal flip

* 50% probability of vertical flip

* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down

* Random Gaussian blur of between 0 and 1 pixels




History

Authoriser (e.g. PI/supervisor)

zeeshan.rana@cranfield.ac.uk