Image dataset to train a deep learning model to decode Leetspeak obfuscated characters
收藏NIAID Data Ecosystem2026-03-13 收录
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https://zenodo.org/record/6373422
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资源简介：
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/.
创建时间：
2022-03-22
