Tags represent a unique way to version your dataset by creating subsets of the samples in your dataset. You usually go through different iterations of your dataset to "weed out" unfit samples, e.g., by using metadata or to emphasize certain sample clusters you find in your embeddings.
Every dataset has at least one tag, typically called and referenced as
initial-tag. This tag is the "mother" or root of all other tags: All other tags are descendants of this tag.
A new tag can be created from the Explore, Metadata, Correlation, and Embedding view of the Lightly Platform. While a new tag is being created, the following floating action buttons (FAB) appear at your screen's bottom right.
When clicking the turquoise arrow button, the tag dropdown switches to an input field and allows you to enter a name for the new tag. Hitting
enter or clicking the
+ will create the tag. Hitting
ESC or clicking on
x will cancel the process again.
In the navigation header of the Lightly Platform, you have a dropdown with which you can quickly switch between all the tags created in your dataset.
The tag tree allows you to obtain an easy overview of which tag originated from which tag. It also shows you the timeline of when which tag under which conditions were created.
You can access the tag tree by clicking on the three-dot ellipsis next to the tag dropdown.
By default, you only see the parents of the currently active tag. To obtain a full overview of all the tags ever created for a dataset, you can expand and see the whole tag tree by clicking on the arrows at the bottom
Clicking on any tag automatically switches to that tag.
Once a tag is created, one can see the details of a tag from the tag tree by hovering over the tag and clicking on the edit icon on the right side.
From here, one can see details about the tag and also through which means the tag was created. It's possible to rename a tag or delete it. As mentioned above, tags have parents and children. This means that it's not possible to remove a tag "in the middle" of the tree, but only leaves - tags without children - can be deleted.
Once many different tags have been created, it's possible to do tag arithmetics. As mentioned above, a tag is a set of samples of your dataset. You can make typical set operations like the union of tags, the intersection of tags, and the difference of tags.
To access tag arithmetics, open the tag tree. While holding
shift, select the other tag you want to perform an operation with.
Updated 16 days ago