How to build an image classification dataset in Azure?

Question

I've a set of images that have a single classification of OPEN (they show something that is open). I couldn't find a way to directly add a status of open to the image reader dataset so I have FULL OUTER JOIN-ed a single ENTER DATA to an IMAGE READER as per the following. This seems like a hack, does anyone know the "right" way to do this? 

Answer 1

There is another way to have R or python code that replicates the status for each image and then uses add-columns. I suggest that R/Python code to just replicate the status for each image may be easier and faster than the outer join.

To know more about this, undergo Intellipaat's Azure Administrator certification. Studying the R Programming Tutorial can also be a factor in solving the problem.

Hope this answer helps you!