Yildirim, Suleyman2024-06-032024-06-032022-08-15Yildirim, Suleyman (2022). Data supporting: 'Autonomous Ground Refuelling Approach for Civil Aircrafts using Computer Vision and Robotics'. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.20445579https://dspace.lib.cranfield.ac.uk/handle/1826/21767Aircraft Refuelling Adaptor Localisation - v3 2022-03-15 12:35pm 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 pixelsCC BY 4.0https://creativecommons.org/licenses/by/4.0/aircraft refuelling adaptor''pressurised refuelling adaptor'Dataset10.17862/cranfield.rd.20445579