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Devnagari-Script

Devnagari-Script

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Author: Prashnna K Gyawali, Shailesh Acharya, Ashok Pant Source: [Computer Vision Research Group, Nepal](https://web.archive.org/web/20160105230017/http://cvresearchnepal.com/wordpress/dhcd/), [Kaggle](https://www.kaggle.com/rishianand/devanagari-character-set) Please cite: Acharya S., Pant A.K., Gyawali P.K.,”Deep Learning based large scale handwritten Devanagari Character Recognition” Proceeding of 9th International Conference on Software, Knowledge, Information Management & Applications Character Recognition for Devanagari Script In human civilisation, languages evolved first, and then came scripts. The Devanagari script is one of the oldest scripts of India, having evolved from the ancient Brahmi script. It came to be adopted widely from around the 7th century CE, and is the world’s fourth most used script after Latin, Chinese and Arabic. It is used in nearly 120 languages and dialects, including Nepali, Marathi and, of course, Hindi. It is also the script in which Sanskrit, the language of holy Hindu scriptures, is written. In fact, the word Devanagari means ‘that from the city of gods’. Its distinguishing feature is a horizontal bar drawn at the top to connect the letters forming each word. This dataset consists of 92 thousand images (32x32 pixels) of 46 characters from Devanagari script. Includes the alphabet as well as the numbers. Devanagari is an Indic script and forms a basis for over 100 languages spoken in India and Nepal including Hindi, Marathi, Sanskrit, and Maithili. It comprises of 47 primary alphabets, 14 vowels, and 33 consonants, and 10 digits. In addition, the alphabets are modified when a vowel is added to a consonant. There is no capitalization of alphabets, unlike Latin languages. ![](https://upload.wikimedia.org/wikipedia/commons/thumb/f/fb/Devanagari_consonants_transp.png/912px-Devanagari_consonants_transp.png)

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pixel_1000numeric1 unique values
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pixel_1008numeric1 unique values
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pixel_1010numeric1 unique values
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pixel_1011numeric1 unique values
0 missing
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0 missing
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0 missing
pixel_1012numeric1 unique values
0 missing
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0 missing
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0 missing
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0 missing
pixel_1013numeric1 unique values
0 missing
pixel_0246numeric256 unique values
0 missing
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0 missing
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0 missing
pixel_1014numeric1 unique values
0 missing
pixel_0247numeric256 unique values
0 missing
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0 missing
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0 missing
pixel_1015numeric1 unique values
0 missing
pixel_0248numeric256 unique values
0 missing
pixel_0504numeric256 unique values
0 missing
pixel_0760numeric256 unique values
0 missing
pixel_1016numeric1 unique values
0 missing
pixel_0249numeric256 unique values
0 missing
pixel_0505numeric256 unique values
0 missing
pixel_0761numeric256 unique values
0 missing

62 properties

92000
Number of instances (rows) of the dataset.
1025
Number of attributes (columns) of the dataset.
46
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
1024
Number of numeric attributes.
1
Number of nominal attributes.
-0.27
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
61.25
Mean of means among attributes of the numeric type.
0.49
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
59.86
First quartile of standard deviation of attributes of the numeric type.
1
Average class difference between consecutive instances.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
5.52
Entropy of the target attribute values.
46
Average number of distinct values among the attributes of the nominal type.
-1.3
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.01
Number of attributes divided by the number of instances.
0.93
Mean skewness among attributes of the numeric type.
75.26
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
77.05
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
2.17
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.71
Second quartile (Median) of skewness among attributes of the numeric type.
2000
Number of instances belonging to the most frequent class.
Maximum entropy among attributes.
-1.84
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
103.57
Second quartile (Median) of standard deviation of attributes of the numeric type.
27.7
Maximum kurtosis among attributes of the numeric type.
0
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
163.71
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-0.36
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
46
The minimal number of distinct values among attributes of the nominal type.
99.9
Percentage of numeric attributes.
92.54
Third quartile of means among attributes of the numeric type.
46
The maximum number of distinct values among attributes of the nominal type.
-0.61
Minimum skewness among attributes of the numeric type.
0.1
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5.21
Maximum skewness among attributes of the numeric type.
0
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.2
Third quartile of skewness among attributes of the numeric type.
115.16
Maximum standard deviation of attributes of the numeric type.
2.17
Percentage of instances belonging to the least frequent class.
-1.56
First quartile of kurtosis among attributes of the numeric type.
108.33
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
2000
Number of instances belonging to the least frequent class.
19.58
First quartile of means among attributes of the numeric type.
0
Standard deviation of the number of distinct values among attributes of the nominal type.

15 tasks

43 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: character
0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: character
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - target_feature: character
0 runs - estimation_procedure: 33% Holdout set - target_feature: character
0 runs - estimation_procedure: 4-fold Crossvalidation - target_feature: character
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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