Automated Author ProfileSai Prashanth, Duddela
Sai Prashanth, Duddela
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.7 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The data contains handwritten samples of Devanagari numerals and vowels (i.e., 10 numerals and 13 vowels). Thus, the dataset includes a total of 23 different Devanagari characters. The data is collected on a regular A4 sheet, scanned at 300 dpi using Epson DS – 150. The numerals and vowels were collected from 2400 and 1400 subjects of different age groups. Further, data is segmented, pre-processed, and stored in a publicly accessible location. By removing the occluded images and scribbles, the final data set contains a total of 38,750 digitized images where 22,500 Devanagari Numerals (2250 each) and 16,250 Vowels (1250 each). This data separated manually into respective folders. The data is also available in the form of CSV files, and the labels attached.
Authors
- Sai Prashanth, Duddela
The data contains handwritten samples of Devanagari numerals and vowels (i.e., 10 numerals and 13 vowels). Thus, the dataset includes a total of 23 different Devanagari characters. The data is collected on a regular A4 sheet, scanned at 300 dpi using Epson DS – 150. The numerals and vowels were collected from 2400 and 1400 subjects of different age groups. Further, data is segmented, pre-processed, and stored in a publicly accessible location. By removing the occluded images and scribbles, the final data set contains a total of 38,750 digitized images where 22,500 Devanagari Numerals (2250 each) and 16,250 Vowels (1250 each). This data separated manually into respective folders. The data is also available in the form of CSV files, and the labels attached.
Authors
- Sai Prashanth, Duddela
The data contains handwritten samples of Devanagari numerals and vowels (i.e., 10 numerals and 13 vowels). Thus, the dataset includes a total of 23 different Devanagari characters. The data is collected on a regular A4 sheet, scanned at 300 dpi using Epson DS – 150. The numerals and vowels were collected from 2400 and 1400 subjects of different age groups. Further, data is segmented, pre-processed, and stored in a publicly accessible location. By removing the occluded images and scribbles, the final data set contains a total of 38,500 digitized images where 22,500 Devanagari Numerals (2250 each) and 16,250 Vowels (1250 each). This data separated manually into respective folders. The data is also available in the form of CSV files, and the labels attached.
Authors
- Sai Prashanth, Duddela