Set asset tag
Overview
Writes one key/value tag onto every asset in a dataset. Asset tags are read all over the platform but, outside the Supervisely integration, nothing writes them — this node fills that gap so a tag can be produced inside an ordinary OvalBee flow.
Three nodes consume what it writes:
- Evaluate object detection splits its report into a section per tag value, so one evaluation shows the metrics of each slice side by side.
- Filter images matches images on a tag.
- Embedding Map clusters inside each tag value and reports the rare subtypes of each group.
The usual shape is marking where data came from — an evaluation set built up from several deliveries, tagged by delivery, so a later report says which batch the model does worst on.
How it works
Inputs
Dataset whose assets are tagged. Key: DATASET.
Tag key, for example test_batch. An existing value under this key is overwritten. Key: TAG_NAME.
Value written under the tag name, for example core or batch-1. Key: TAG_VALUE.
Outputs
The same dataset, so later steps can chain off this one. Key: DATASET.
How many assets were written on this run. Assets that already carried the value are skipped. Shown on the node as a badge. Key: TAGGED_ASSETS.
JSON config
Machine-readable node interface for automation and advanced usage.