The dataset was created by extraction and manual annotation of thousands of characters from handwritten documents. Creator Name: Shailesh Acharya, Email: sailes437 '@' gmail.com, Institution: University of North Texas, Cell: +19402200157 Creator Name: Prashnna Kumar Gyawali, Email: gyawali.prasanna '@' gmail.com, Institution: Rochester Institute of Technology Data Type: GrayScale Image The image dataset can be used to benchmark classification algorithm for OCR systems. The highest accuracy obtained in the Test set is 98.47%. Model Description is available in the paper. Image Format: .png Resolution: 32 by 32 Actual character is centered within 28 by 28 pixel, padding of 2 pixel is added on all four sides of actual character. S. Acharya, A.K. Pant and P.K. Gyawali a€?Deep Learning Based Large Scale Handwritten Devanagari Character Recognitiona€?,In Proceedings of the 9th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pp. 121-126, 2015. Your data will be in front of the world's largest data science community. What questions do you want to see answered?