SVHNClassifier Will it work for characters?

I wanna recognize images including short characters as well as digits, like "A25", "B03" and so on. I wonder could this structure work on this situation?

Sep 15 '18 15:09 MarStarck

Looks like the training data only have digital, i test and characters is not working If you want character you have to add character training data

Oct 08 '18 02:10 fkoorc

I have added character training data but the acc drops to about 70%

Oct 08 '18 03:10 MarStarck

Actually my model only have digital and still the test accuracy is about 75% but if the picture is No distortion and very clear (maybe use some pre-process OCR) the accuracy can be about 93% I guess the model was overfitting. Or maybe your training data format had some problem may I ask your character data source?

Oct 08 '18 06:10 fkoorc

the data source is synthetic text data by TextRecognitionDataGenerator I believe they are quite clear without distortion. So I think the 10-layer conv model cannot describe these characters, it's under fitting.

Oct 08 '18 06:10 MarStarck

I guess you are right. I saw the data contains en/cn/fr/de? Looks quite complicate. If your data is large enough. I think 70% is quite good result If you still wanna promote accuracy, I suggest you can see these two paper

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition（2014） Reading Text in the Wild with Convolutional Neural Networks（2014）

Where are you from? Maybe we can change email and discuss

Oct 08 '18 07:10 fkoorc

@fkoorc I'm from China, my email: [email protected]

Oct 11 '18 05:10 MarStarck