电子邮件垃圾邮件
ContextSome emails from [Spam Assassin][1] to create models that can differentiate between spam and ham (non - spam) ema...NLP,Classification,Software,Email and Messaging Classification
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Wessel van Lit
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Henry Dashwood
0M
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Mohamed Loey
MJSynth Synthetic Word Dataset 合成词数据集
This is synthetically generated dataset which we found sufficient for training text recognitionon real-world imagesThis...NLP Classification
9.95G
1638
Visual Geometry Group
ICDAR 2013 数据集
1 150 images written in Greek and English language as well as 50 images written inIndian Bangla language.2 BlackWhite ha...NLP Text
172.61M
1521
Computational Intelligence Laboratory Institute of Informatics and Telecommunications National Center for Scientific Research