German Style Number Plate Font Dataset for Text Recognition from Image

Dataset MetadataDescription:This dataset contains images of alphanumeric characters (0-9 and a-z) for text recognition tasks. Each character is represented by 100 samples, resulting in a total of 3600 samples. The images are grayscale with a resolution of 20x20 pixels, which have been flattened into 400-dimensional vectors.Content:X: The feature matrix with dimensions (3600, 400). Each row corresponds to a 20x20 pixel image flattened into a 400-dimensional vector.y: The label matrix with dimensions (3600, 36). Labels are one-hot encoded for 36 classes (0-9 and a-z), where each class has 100 samples.Features:X (3600, 400):Each row represents a flattened 20x20 pixel grayscale image of an alphanumeric character.Contains 3600 samples, with each sample having 400 features.y (3600, 36):Each row represents the one-hot encoded label for the corresponding sample in X.Contains 3600 samples, with each sample having 36 features representing the alphanumeric classes (0-9 and a-z).Classes:36 classes representing the alphanumeric characters:Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9Letters: a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, zUsage:This Dataset is primarily made for "Pakistan (Punjab) Number Plates Recognition specifically for German-style number plate font " but it is not limited, it is suitable for tasks such as:Alphanumeric character recognitionOptical character recognition (OCR)Machine learning and deep learning experiments for text classificationSource:This dataset was created for research and educational purposes to facilitate the development and evaluation of text recognition algorithms.Acknowledgements:If you use this dataset in your research or projects, please cite the source appropriately.NOTESimply load csv files mentioned below for loading data in dataframesX_NPRS_dataset_samples.csvy_NPRS_dataset_labels.csvor load AlphaNumaric.mat for loading data in MATLAB