User Tags
Use tags to organize your dataset, manage workflows, and simplify downstream processes like relabeling or exclusion.
How This Helps
Tagging makes it easy to group, track, and manage data for training, QA, relabeling, or experimentation. Whether you’re cleaning data, preparing a subset, or tracking annotation status — tags let you move faster and stay organized.
Tags help you quickly organize, filter, and take action on relevant items in your dataset. They can be applied across Clusters, Images, or Objects, and used to streamline curation, quality review, or experimental workflows.
Use cases include:
- Data Curation: Group items for training, validation, or internal evaluation. Tags like
train
,test
,representative
help define clear splits. - Data Cleaning: Identify problematic items with tags like
low_quality
,duplicate
, orneeds_review
. - Workflow Management: Add review state tags such as
approved
,rejected
,for-review
, or priority labels likeurgent
. - Experiment Tracking: Label data used in experiments (
exp-103
,baseline-set
) for traceability and auditability.
Tag Multiple Items
You can assign tags to many items at once across views.
- Navigate to a dataset and select Clusters, Images, or Objects of interest.
- Click the Selected Items icon in the top right.
- Click Manage Tags and choose from existing tags or create new ones.
View and Remove Tags
You can view and edit tags in the Assigned Tags panel.
- Select your items and open the Assigned Tags panel.
- Click a tag to remove it from any selected items — even if it’s not applied to all of them.
Tag Individual Images
You can also tag single images directly in the Image Details Page.
How to Apply Tags to an Image
Click Assign User Tags in the right-hand pane of the Image Details Page. You can create a new tag or apply an existing one.
Caption: Assign tags to a specific image from the side panel
Caption: Select or create a new tag
Caption: View or remove assigned tags directly in the right pane
To remove a tag, click the X next to its label.
You can mix and match tag workflows — start with bulk tagging, refine at the image level, or export tagged items for review, relabeling, or exclusion.