Page Comparison

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When you take a look at the sitemap image and color classification you will see something like this:

Image Modified

1. Image Type received from ML system

   1. This value defaults to “Placeholder” if the ML system could not return a value

2. Color received from ML System

   1. This value defaults to null if the ML system could not return a value

   2. If the color value is configured in the scrape the ML classification for the model is not applied

3. Image Type Manual fix

   1. Image Type manual fix list selects the value returned from the ML system or defaults to Placeholder if None is received.

4. Color Manual fix

   1. Color manual fix list selects the value returned from the ML system or defaults to “Black” if None is received

5. Example of Placeholder tagged from ML system: {Image Type = Placeholder, Color = None}

   1. As you see, as color is not tagged, 5 is not showing anything

   2. Previously tagged Placeholders were {Image Type = Placeholder, Color = 'N/A'}. If you find some of these they are cached values.

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Different criteria for image types between the advertisers and us

This case happened documented on 2021-11 and it is documented in Jirais a good example of discrepancies in classifications.

There were two problematic situations happening simultaneously:

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Examples of conflicting images:

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Vehicles 1 & 2 are real cars or very realistic CGI (image 1?) over a static background.

Vehicles 3 & 4 are very similar images from two different dealers.