...
In this iteration, we maintain the same approach as the previous one. This iteration was caused by two situations:
Omni Advertising A client notified us of several issues with classification:
Digitally created images that look “real” were manually classified by us as “Stock”.
Even though they are digitally created, some clients consider them “Dealer” images and others “Stock”
The decided path of action was:
Delete conflicting images from the DataSet
Let the ML system tag the images normally and let the clients decide what those images are by manually changing the values
Dealer Alchemist complaining about 2nd client concern regarding some classifications:
In this case, there were issues with some images from some advertisers that needed correction so we included examples of those in the dataset
...