Published March 21, 2022
| Version v1
Dataset
Open
Image dataset to train a deep learning model to decode Leetspeak obfuscated characters
Creators
- 1. Mondragon Unibertsitatea
- 2. Instituto Universitário de Lisboa (ISCTE-IUL)
- 3. University of Vigo
Description
The dataset contains an image database (18,981 images) that could be used to train a deep learning model to accurately detect characters. We have successfully used it to create a model that identifies characters encoded using LeetSpeak. The original dataset can be found in the Mondragon Unibertsitatea Repository -- https://gitlab.danz.eus/datasharing/ski4spam
The training dataset consists of:
- Alphabetic letters (a-z) written using different fonts and styles (regular, cursive, bold, cursive+bold)
- Handwritten letters: English handwriting from the Chars74k dataset [2] which is available at http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/.
Files
images.zip
Files
(22.1 MB)
| Name | Size | Download all |
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md5:fb400473248296b9a0497a2f072b77a9
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