Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
100K - 1M
Tags:
OCR
Handwriting
Character Recognition
Grayscale Images
ASCII Labels
Optical Character Recognition
License:
license: mit | |
# AlphaNum Dataset | |
## Dataset Summary | |
The AlphaNum dataset, created by Louis Rädisch, is a collection of handwritten characters and digits intended for the use in Optical Character Recognition (OCR) tasks. This dataset is a compilation from various sources and includes labels from 0-35, where 0-25 represent the letters A-Z and 26-35 represent the digits 0-9. The images from the MNIST dataset included have been color inverted. | |
## Dataset Structure | |
### Data Instances | |
A data instance in this dataset is an image of a handwritten character or digit along with its corresponding label. | |
### Data Fields | |
1) 'image': The image of the handwritten character or digit. | |
2) 'label': The label for the character or digit in the image. (0-25 for A-Z, 26-35 for 0-9) | |
### Data Splits | |
The dataset is divided into training, validation, and test sets. | |
## Dataset Use | |
The AlphaNum dataset is suitable for tasks related to text recognition, document processing, and machine learning, particularly in the development and improvement of OCR models. | |