The annotation statistics gives you an overview over the already annotated product distribution.
On top the total number und number of already annotated product is displayed. Especially the second number and its percentage is helpful during the annotation because you get an idea how many product are annotated yet. The prediction model needs a certain number of products to achieve a good prediction for unknown (not annotated) products.
Below these number the statistics show the distribution of the annotation over the attribute values. It displays the total number of annotations (e.g. female was annotated 3 times) and the percentage in brackets.
Note
The accumulated percentages can result in a values over 100 percent. That can happen if the attribute allows a multiple value selection.
