I try to train a cnn with caffe to detect the letter “OK” or not.
My first CNN is not very good and i would like to have your advices.
I got fonts in png (white font on black background with 28x28px) for the letter O and K (real size is more around 120x120px, and the letter are more black on “green” background).
I converted them to png for the positive images.
Then i followed the cmnis-nn tutorial from openmv github.
I did not change any parameters of solver.prototxt.
The first results are
- the detection is not very precise at all
- the detection is sensitive to the light
Is it due only to the difference of letter size ratio or color ?
What could you tell me to simplify the research of the good cnn ?