'How to create a dataset for tensorflow from a txt file containing paths and labels?
I'm trying to load the DomainNet dataset into a tensorflow dataset.
Each of the domains contain two .txt files for the training and test data respectively, which is structured as follows:
painting/aircraft_carrier/painting_001_000106.jpg 0
painting/aircraft_carrier/painting_001_000060.jpg 0
painting/aircraft_carrier/painting_001_000130.jpg 0
painting/aircraft_carrier/painting_001_000058.jpg 0
painting/aircraft_carrier/painting_001_000093.jpg 0
painting/aircraft_carrier/painting_001_000107.jpg 0
painting/aircraft_carrier/painting_001_000088.jpg 0
painting/aircraft_carrier/painting_001_000014.jpg 0
painting/aircraft_carrier/painting_001_000013.jpg 0
...
Which is one line per image containing a relative path and a label. My question is, if there is already some built-in way in tensorflow/keras to load this kind of structure, or if I have to parse and load the data manually? So far my google-fu let me down...
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