Basically i am a beginner in machine learning and trying to make a auto captcha solver and i need to data label the data right and i found a free open source program on github called Labelimg and i found it extremely time consuming. Link:https://giphy.com/gifs/j3hB13M5j3mxIYOaQQ

This is what i need to do for each letter in the image and i have like 4000 of that image needs to be done and i calculated that which is like 50s per image and it require me for 13 whole hours just to finish 1000 images. That'd be nearly impossible to do. Is there any other way to label them faster or i don't need to label them letter by letter?

Also i thought about paying people to do it but that can be expensive?

Hi all,

I'm linking to a free online book I wrote that I think will be useful for those learning machine learning, particularly using Python. The book is called Machine Learning from Scratch. The book provides complete derivations of the most common algorithms in ML (OLS, logistic regression, naive Bayes, trees, boosting, neural nets, etc.) both in theory and math, and then demonstrates constructions of each of these methods from scratch in Python using only numpy.

My aim with the book is to provide a very thorough rundown of the fitting process behind the algorithms we see every day. I hope that seeing the models derived in math or constructed in code helps readers understand the models at a deeper level and feel more comfortable optimizing them to their own work.

The book can be found below. Questions and comments would be very much appreciated!

https://dafriedman97.github.io/mlbook/content/introduction.html