With the aid of the Annotation view you are able to assign the attribute values, created in the Attribute Creation view, to your products. The following sections explain what you have to consider before, and what to do during the annotation process.

Table of Contents:

Initial View

When you enter the Annotation view for the first time you can see the following elements:

In the left corner a button to return to the Attribute Creation view
A statistic board which is updated after every product annotation
The "Start Annotation" button
A button to externally upload an existing annotation
An info text which suggests to you to begin the annotation process

Clicking on "Start Annotation" opens a modal window where you have to configure some settings. These settings help you during the annotation process, to decide which attribute value you should assign to each product. Read more about the settings on the page Annotation Settings.

Annotation Process

When you start the annotation process the view looks something like this:

Workbench > Product Annotation > image2020-12-23_14-6-18.png

On the top you see your created attribute name. Below, the product image is displayed along with further product information which you set in the Annotation Settings.

Furthermore, the view control elements are available:

Attribute value selection:
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 select the value "none".

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.

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 press this key on your keyboard the corresponding value is selected.

This feature saves time and is more comfortable to use.

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 reached.

Stop Annotation

You can stop the annotation process anytime. There are multiple ways to end the annotation.

Clicking on the "Stop Annotation" button. This is the cleanest and the most preferred way.
Changing the view. While the annotation is running a modal windows pops up if you want to leave the view. It gives you the choice to stay and continue the annotation or change the view which automatically stops the annotation.
All products were annotated. A "Done" notification appears, and you have to click on "Stop Annotation" to see the results.

After stopping the annotation you are able to create a prediction model. As mentioned before, the rule applies: More product annotations result in a more precise prediction.

Upload existing Annotations

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