Move
Overview
Moves images and videos, with their annotations, from one dataset to another. Assets that are already in the destination dataset are skipped.
Moved assets leave the source dataset. To keep them in the source, use Copy instead.
It’s handy for moving data out of a temporary or review dataset, for example to send rejected images back to labeling.
To move only part of the source, connect a second dataset to Assets to move (dataset), for example the output of Filter images. The node then moves only the source assets that this dataset also holds.
How it works
Takes the source images and videos. When an assets dataset is set, keeps only the ones it also holds.
FAQ
What happens to assets already in the destination?
They’re skipped. The node doesn’t add them again and leaves them in the source dataset. Only assets missing from the destination leave the source.
Does the node move videos and annotations too?
Yes. Images and videos both move, and each asset’s annotations move with it.
Why did the badge show +0 assets?
Why did the badge show +0 assets?
The source dataset is empty, the assets dataset shares no assets with it, or every asset is already in the destination. Nothing moved in that run.
Can I get the moved assets back into the source?
Not from a dataset version: Move changes both datasets in place and doesn’t create a new version of either. The assets aren’t deleted, so a Copy or Move in the other direction puts them back.
Inputs
Dataset to take the assets from. They leave it after the move. Key: SRC_DATASET.
Dataset to move the assets to, with their annotations. Assets it already has are skipped and stay in the source dataset too. Key: DST_DATASET.
Dataset naming which assets to move: only the ones it shares with the source are moved. Leave empty to move everything from the source dataset. Key: ASSETS_DATASET.
Outputs
ID of the destination OvalBee dataset. Key: DST_DATASET.
Short badge with the number of assets moved in the latest run. Shown on the node as a badge. Key: LAST_MOVED_ASSETS_COUNT.
JSON config
Machine-readable node interface for automation and advanced usage.