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Furthermore, the view control elements are available:
Attribute value selection:
If no value matches the criteria for the current
Choose one or multiple values from the created attribute.In case you are not sure which value to select and wish to skip annotating this product, you can
alsoselect the value "none".
Note title Note The value "none" represents an empty annotation. The AI model won't consider any of the products annotated as "none". In production, those products will be assigned an attribute value as predicted by the model.
In case you expect there will be products which don't belong to any of the categories expressed by the attribute values, and want the model to express that, you might consider adding a separate value such as "other".- Accept annotation:
Saves the value selection(s) and displays the next product to annotate. - Go to previous annotation:
Shows the last annotated product. It can be used to change an older annotation value.
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You can also annotate the products without using the mouse. A label is displayed below all the control elements (e.g. "1" or "ENTER"). If you click press this key on your keyboard the corresponding value is selected. This feature saves time and is more comfortable to use. |
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The AI model isn't capable of learning any useful patterns if it doesn't observe enough data. Therefore, a minimum of 10 products must be annotated per attribute value. All attribute values with less corresponding products are simply ignored. At least two attribute values need to have enough annotations, otherwise it wouldn't make sense to train a model at all, since it would always predict the value with the most annotations. Thus any attempt to train a model with fewer annotations would fail. The minimal amount of annotations required to train an accurate model is highly dependent on the complexity of the attribute and the availability of informative data attributes to learn from. It is perhaps best to iteratively train new models and annotate further products until the desired model accuracy is reachedYou should annotate at least 10 percent of your products to get proper prediction results from the annotation model. |
Stop Annotation
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You can stop the annotation process anytime. There are multiple ways to end the annotation.
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