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We report generation of a MNIST [4] compatible data set [1] for Tamil vowelsto enable building a classification DNN or other such ML/AI deep learning [2]models for Tamil OCR/Handwriting applications. We report the capability of the60,000 grayscale, 28x28 pixel dataset to build a 92% accuracy (training) and82% cross-validation 4-layer CNN, with 100,000+ parameters, in TensorFlow. Wealso report a top-1 classification accuracy of 70% and top-2 classificationaccuracy of 92% on handwritten vowels showing, for the same network.

Tamil Vowel Recognition With Augmented MNIST-like Data Set