4 ms·
600,000 digit images (labeled data): http://ufldl.stanford.edu/housenumbers/ http://ufldl.stanford.edu/housenumbers/
by frik 12y ago
600,000 digit images (labeled data):
http://ufldl.stanford.edu/housenumbers/ http://ufldl.stanford.edu/housenumbers/
- z92 12y agoWon't an easier way will be to copy a large text from net, paste it into MS Word. Export each page as image. And then train it using that image and the known text.
- frik 12y agoIt won't help that much, as every character/letter/digit will be of the same font face, e.g. Arial. Then it can only recognize scans with Arial font. One needs a real world training set, a lot of variation, like house numbers and scanned books with labeled datasets.
- megalodon 12y agoI'm planning on adding a JSON config file to be able to tweak the network and add a lot more variation to the generated training set. Meanwhile, if you want to train it with several different fonts you can just add them to the 'fonts' array in captcha.js.