307 15 572 2 3114 document 572 UKLicencePlateDataset.zip application/zip a5c5d991c6edd88ddc99b788f3b8dd89 MD5 1429644873 2021-09-23 15:44:41 https://data.lancashire.ac.uk/id/eprint/307/1/UKLicencePlateDataset.zip 307 1 1 application/zip application/zip Dataset consisting of synthetic images of Licence plate en public cc_by_nd

UKLicencePlateDataset.zip

full_archive archive 8070 disk0/00/00/03/07 2021-10-06 11:32:44 2023-07-24 12:54:05 2021-10-06 11:32:44 data_collection show Munir Saad Bin SBMunir@uclan.ac.uk I460 2023sub_E_C_M_P Licence Plate Dataset UK Licence Plate dataset ALPR dataset Number Plate Number plate dataset Uk Number Plate Number plate images Number Plate Recognition Licence Plate synthetic images This dataset consists of synthetic images of UK Licence plates. It was generated by using Standard sizes of letters and spacing used by DLVA. The dataset contains 4 types: 'yellowplate_normal' contains yellow licence plates with no Augmentation applied. 'whiteplate_normal' contains white licence plates with no Augmentation applied. 'yellowplate_augmented' contains yellow licence plates with Augmentation techniques applied. 'whiteplate_augmented' contains white licence plates with agmentation techniques applied. The Augmented dataset can be used for detection of licence plates as well as recognition. The normal dataset can be used for recognition of licence plate number. All datasets should be combined to take all types and augmentations into consideration. 10.17030/uclan.data.00000307 dataset RG_004 Erc rdmsupport@uclan.ac.uk Munir Saad Bin SBMunir@uclan.ac.uk thesis The data us created using DLVA standard fonts and sizes and Python programming was used to generated synthetic images. 2021-05 2021-06