Does the network do well with handwriting, e.g. puzzles that have been half-solved?
Does the network do well with handwriting, e.g. puzzles that have been half-solved?
Edit: Although so far I've learned that some people have VERY bad handwriting. I'm having a hard time sanitizing a dataset because I can't even tell what digit they were trying to write
I have the worst handwriting.
People are like, "Dude, wtf?" when I try to whiteboard stuff.
I didn't expect the reception to be so enthusiastic for v1 tbh; but I guess I chose a good place to call it an "MVP"
I'm running the iOS11 Vision stuff, my own text recognition CoreML neural network (81 times per loop), plus all the ARKit stuff and I can still get 30-60 fps on my iPhone 7+
http://yann.lecun.com/exdb/mnist/
I think the artifacts from the square borders (eg if it's slightly mis-cropped or misaligned) were also tripping up the model before I had my custom dataset loaded in there.
Edit: I should say this was my first stab at doing machine learning so I may be missing something; definitely open to ideas or suggestions!