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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
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
Also found that manual changes that had been made were inaccurate. However, since manual changes are ignored the system never re-classified the images
For this, we had to clear the system cache to allow for the reclassification process to work correctly with the new data sets.
The new dataset was created as follows:
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