Hi,

I am using Keras to segment images to road and background pixels. As you can imagine percentage of road pixels are much lower than that of background pixels. Hence, I want to use class_weight= {0:0.05, 1:0.95} while fitting the model so that cnn won't predict every pixel as background. But, when I do this I got the following error:

File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 597, in fit
sample_weight=sample_weight)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1035, in fit
batch_size=batch_size)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 973, in _standardize_user_data
in zip(y, sample_weights, class_weights, self.sample_weight_modes)]
File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 387, in standardize_weights
raise Exception('class_weight not supported for '
Exception: class_weight not supported for 3+ dimensional targets.

My training labels are in this form: (number_of_training_samples=10000, number_of_pixels_in_patch=16384, number_of_classes=2). How can I weight the classes in Keras?

Thanks in advance.