I am currently writing my bachelors thesis about recognition of mathematical symbols. This is supposed to be followed by a masters thesis about recognition of mathematical formulas. (I already spoke with the Professor; it was his idea to split this task.)
So the practical part of my bachelors thesis will be very similar to Detexify. Except that I will use much more sophisticated classification methods to (hopefully) get much better classification accuracy and higher speed than what Detexify provides. (Detexify uses Dynamic Time Warping; I will use Artificial Time Delay Neural Nets, probably coupled with Hidden Markov Models.)
But there is one problem: Those machine learning tools need much data. My advisor told me that I should have at least 100 training instances per symbol I want to recognize.
The current state is here: LaTeX symbols by number of training instances
So I need people that go to http://write-math.com/train, click on a challenge or a symbol and draw that symbol.
In case you have an idea how to structure the interface better, just let me know. I will try to improve that.
The question is: What is the right way to get into contact with people of this community?
I only have a very vague idea what CTAN and TUG are. Are there probably email lists I could contact?
I've got about 2,000 datasets in the last two days. That's amazing! Thank you very much. But I still need A LOT more. At the moment, only 3/~180 symbols have the necessary 100 training instances (see overview).
To give you a little insight in some of the work I do, I've just create a page where you can see how some pre-processing algorithms change the data: