How to manually specify class labels in keras flow_from_directory?

Question

Problem: I am training a model for multilabel image recognition. My images are therefore associated with multiple y labels. This is conflicting with the conveni

Answer 1

You could simply use the flow_from_directory and extend it to a multiclass in a following manner:

def multiclass_flow_from_directory(flow_from_directory_gen, multiclasses_getter):
    for x, y in flow_from_directory_gen:
        yield x, multiclasses_getter(x, y)

Where multiclasses_getter is assigning a multiclass vector / your multiclass representation to your images. Note that x and y are not a single examples but batches of examples, so this should be included in your multiclasses_getter design.