Re-working labels are one of the best ways to keep your labeling costs low while radically improving its quality. A lot of customers come to Labelbox after experiencing pure outsourcing services, and they are delighted by experiencing the ability to fully control the label lifecycle in Labelbox. Rework with labels can be perhaps best understood with an analogy: imagine, if you had to ask your software programmers to write software from scratch every time. Clearly, we don't do that. Even when software is outsourced, it is done so using git-based collaborative cloud platforms.
Below are a few common ways you can rework with Labels.
When you delete a Label on an asset, Labelbox automatically re-enters that asset into the labeling queue to get relabeled. You can choose to use the existing label as a template for the future labeler.
Follow these steps to relabel an asset:
Go to the Labels tab.
Select the Data Row you wish to relabel and click Delete labels.
Check the box to use the deleted label as a template (starting point) the next time the asset is loaded into the Editor. As long as your dataset is attached to your project, the asset along with its label template will be added back to the label queue. If your dataset is not attached to your project, re-enqueued assets and label templates will not be available until the dataset is reattached to the project.
Click Start labeling to load the asset in the Editor and label it again.
Driven by any hypothesis about the data, you can filter labels or data rows and create an issue on the label to be resolved.
Updated about 2 months ago