3 ms·
Great list of links. You have done the research! Personally, I have used ocropy to great effect. Right now, I am moving beyond forms at work and researching car
by bouyoul420 11y ago
Great list of links. You have done the research! Personally, I have used ocropy to great effect. Right now, I am moving beyond forms at work and researching cartographic map vectorization using deep learning techniques. There is little science papers on the subject however. Have you done any research on that by any chance?
- riordan 11y agoIndeed! Map vectorization is one the things NYPL Labs is actively working on: https://github.com/nypl/map-vectorizer https://github.com/nypl/map-vectorizer It's designed to work primarily with old fire insurance atlases (e.g. Sanborns) and is a bunch of hand-tuned heuristics. But it powers Building Inspector (http://buildinginspector.nypl.org http://buildinginspector.nypl.org), which is where all the data is validated consensus crowdsourcing, providing ground truth for the data coming out. Unfortunately (or perhaps fortunately if you're trying to get a Computer Science PhD) I haven't come across anyone applying deep learning to map vectorization either. Frankly, it could open up a whole new field with respect to historical mapping (among other things). Would love to talk more about it and see how deep learning could be applied here. We always structured the outputs of Building Inspector so they'd be useful training sets for unsupervised or reinforcement learning so it could hopefully apply here as well.