A guide for filtering and sorting data rows in Catalog.
Attribute | Description |
---|---|
Annotation | Find data rows with labels that contain or do not have certain counts of annotations |
Batch | Find data rows that belong to a particular batch |
Data row | Filter based on global key, data row ID, created at, and last activity at |
Dataset | Find data rows that belong to a particular dataset |
Find text | Find data rows that contain a particular keyword |
Issue | Find labelled data rows that have Issue |
Label Actions | Find data rows that have a label(s) or haven’t been labeled yet |
Media attributes | Find data rows based on their media type (e.g., image, video, text) or other attributes computed upon upload (e.g., video duration, height, width) |
Metadata | Find data rows that contain a certain metadata field and/or value |
Model | Find data rows used in Foundry |
Model prediction | Find data rows that have Foundry prediction(s) |
Natural language search | Filter based on natural language (e.g., photos of birds in grass fields) |
Project | Find data rows that are associated with a specific labeling project |
Similarity | Automatically surface data rows that are more or less similar to selected data rows |
Benchmark agreement | Find data rows with certain benchmark agreement metrics by label or feature |
Consensus agreement | Find data rows with certain consensus agreement metrics by label or feature |
AND
operation. Within a layer, you can use OR
operations. Each filter provides a count of data rows that match the filter. Only non-zero counts of instances of an attribute are available for selection and provided as a possible selection.
Labelbox search and curation capabilities allow for unmatched flexibility, scale, performance, and automation.
Typing "dog" here suggests this type of filters