Explore the filters available for curating data in model runs.
Attribute | Description | Examples |
---|---|---|
Annotation | Find data rows with labels that contain or do not have certain counts of annotations | Show image assets where X annotation was used at least N times. |
Prediction | Predictions uploaded to the model run | Show text assets where the model predicted X at least N times. |
Data row | Filter on any data row identifiers (e.g., global key, data row ID, and external ID) | Show all image assets where the global key does not contain X. |
Label | Find data rows by the ID of associated labels. | Show all text assets where a label ID contains X. |
Dataset | Find data rows that belong to a particular dataset. | Show all image assets uploaded to dataset X. |
Project | Find data rows that are associated with a specific labeling project | Show all text assets uploaded to project X. |
Metrics | Model run metrics (auto-generated and custom) | Show image assets with specific values for precision, recall, intersection over union, etc. Filter on aggregated or per prediction metrics |
Metadata | Find data rows that contain a certain metadata field and/or value | Show text assets that were captured between two datetimes |
kite
or a prediction of person
.This filter combines multiple different conditions.
Use the "Metrics" filter, then select "per prediction".
Sort by option in Model Run tab