Hoda Dataset
Hoda Dataset
Datasets
Hoda Dataset
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Hoda Dataset
Use Case
Hoda Dataset
Description
Comprehensive Dataset for Persian Handwriting Recognition
About the Dataset
The Dataset is the first extensive collection of Persian manuscript figures, comprising 102,353 black and white manuscript examples. This dataset was developed during a master’s project focused on the recognition of handwritten forms. The data is sourced from approximately 12,000 registration forms for the 2014 national master’s exam and the continuous associate exam of the University of Applied Sciences.
Dataset Features:
Resolution: 200 DPI (dots per inch)
Total Samples: 102,352
Training Samples: 6,000 per class
Test Samples: 2,000 per class
Additional Samples: 22,352
Purpose and Applications:
This dataset is ideal for training AI models in handwriting recognition, particularly for Persian script. Its comprehensive nature ensures a wide variety of examples, improving the robustness and accuracy of machine learning algorithms.
Additional Content:
The Dataset serves as a valuable resource for researchers and developers in the field of AI and machine learning, providing a solid foundation for advancing handwritten text recognition technologies. This collection not only facilitates academic research but also supports practical applications in automated form processing and digital archiving.
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