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A historical entry of manual fix is stored in the DB with information of what/who/when the change was made
The change is pushed to the ML server to modify the cached values for the image type/color of that image
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Understanding "Weird" results
There are some cases when by just taking a look at the advertiser sitemap you know that something went wrong with the classification. Here is a list of known cases that can happen:
ML System failed to respond to the request
How to identify:
Lot of images classified as {Image Type = 'Placeholder', Color = 'None'} when they are not obvious placeholder
Example:
Solution:
Relaunch the scrape and if the problem persists contact the dev team.
Placeholder manual fix made by advertisers
How to identify:
The image is classified as {Image Type = 'Placeholder', Color != 'None'}
Example:
Solution:
Manually retag it back or just ignore it. After all the last word on the classification comes from the advertisers.