<p>I want to create a small dataset (about 10 classes and 20-30 images each), should I add some noise (wrong label sample) in the training, validation and test datasets, and why?</p>

CC BY-SA 4.0
2019-12-26T13:10:44.847Z
Hi. Are you asking whether you should or not deliberately add some noise to the dataset? I've added the word "add" to your question, but I am unsure if this was the actual word missing.
nbro
CC BY-SA 4.0
2019-12-26T13:41:58.227Z
What is your purpose in creating the dataset? What do you hope to achieve? We need to know in order to answer whether adding noise would be useful
Neil Slater
<datasets>
Should I add some noise when the dataset is small?
user32320
# Should I add some noise when the dataset is small?

(Asked by: username_0 on 2019-12-26)

I want to create a small dataset (about 10 classes and 20-30 images each), should I add some noise (wrong label sample) in the training, validation and test datasets, and why?

**Tags:** datasets

> **Comments:**
> **username_1**: Hi. Are you asking whether you should or not deliberately add some noise to the dataset? I've added the word "add" to your question, but I am unsure if this was the actual word missing.  
> **username_2**: What is your purpose in creating the dataset? What do you hope to achieve? We need to know in order to answer whether adding noise would be useful  

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## 0 answers

