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Old Version 3

changes.mady.by.user Julius Höfler

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New Version 4

changes.mady.by.user Julius Höfler

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You can use the search bar to find the an attribute easier. All selected attribute as attributes are displayed below the checkbox list as tags (max. selection is 10). They can be removed via the "x" icon in the tags or by deselecting the attribute in the checkbox list.

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Info
titleInfo

If you have mapped some core attributes during the data feed import (see Set the Attribute Mapping) all of these mapping mappings are automatically preselected.

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Like in the attribute selection above, you have to choose an attribute out of your data feed. In contrast, the information of this attribute is not displayed as text information but rendered as an image. That means that the image URL is transferred converted into an image. With the aid of that image, it is easier to identify to the product or decide which attribute values needs to be annotated.

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Info
titleInfo

If you have mapped the core attribute image during the data feed import (see Set the Attribute Mapping) the image selection is automatically preselected with this attribute.

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AdvantagesDisadvantages
Original
  • the annotation order is known
  • less product variety which can result in annotating dozens of similar products (e.g. product variants)
  • this does not help the model in its value prediction for completely different products
  • can take quite longer to get enough products for a good prediction
Random
  • more likely to get a bigger product variety
    → saves time until the model can generate a good prediction
  • annotation order is not known
  • it is not secured to get the needed product variety 
  • at worst it can take a similar time as by for Original
Active Learning
  • product presentation is based on the uncertainty of the prediction model
  • it saves a lot of time until you get a very good prediction for all products
  • the user has to annotate at least 50 products
  • a prediction model have to exist already

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  • Remaining:
    You only see products which have not been annotated at all.

  • All Again (Rerun):
    All products independent of its current annotation status are shown during the starting annotationsannotation. All existing annotation are deleted.

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