@ -35,6 +35,8 @@ If you have an image label with height and width of 10, for a binary case the fi
This means that you have an image by `10*10*3` and `pixel[0,0]` belongs
to class `1` and `pixel[0,1]` belongs to class `0`.
A small sample of training data for binarization experiment can be found here https://qurator-data.de/binarization_training_data_sample/ which contains images and lables folders.
### Training , evaluation and output
The train and evaluation folders should contain subfolders of images and labels.
The output folder should be an empty folder where the output model will be written to.