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ShareScore release 0.9.0
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2 results for “Handwritten Digit”
Dzongkha Handwritten Digit Dataset
<p>Dzongkha, the national language of Bhutan, has limited resources available for Natural Language Processing (NLP) tasks because the language is relatively understudied. However, there is no publicly available benchmark dataset for handwritten character identification in the Dzongkha digit script. The dataset contains 1000 images of handwritten Dzongkha digits that are captured using Google Jamboard in JPG format. The image data is assembled from a total of 100 indigenous and non-indigenous people of Bhutan irrespective of age, gender, educational background, etc. In the designed dataset, there are 10 different classes of Dzongkha digits which range from 0 to 9. The labels of these classes are: 0 (༠), 1 (༡), 2 (༢), 3 (༣), 4 (༤), 5 (༥), 6 (༦), 7 (༧), 8 (༨), 9 (༩).</p>
ICDAR2013 – Handwritten Digit and Digit String Recognition Competition
<p>The CVL Single Digit dataset consists of 7000 single digits (700 digits per class) written by approximately 60 different writers. The validation set has the same size but different writers. The validation set may be used for parameter estimation and validation but not for supervised training. The CVL Digit Strings dataset uses 10 different digit strings from a total of about 120 writers resulting in 1262 training images. The digits from the CVL Single Digit dataset were extracted from these strings.</p> <p>This database may be used for non-commercial research purpose only. If you publish material based on this database, we request you to include a reference to:</p> <p>Markus Diem, Stefan Fiel, Angelika Garz, Manuel Keglevic, Florian Kleber and Robert Sablatnig, <em>ICDAR 2013 Competition on Handwritten Digit Recognition (HDRC 2013)</em>, In Proc. of the 12th Int. Conference on Document Analysis and Recognition (ICDAR) 2013, pp. 1454-1459, 2013.</p>
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