I want to use Prodigy for AI assisted labeling. Each image is pre-labeled with bounding boxes before being send to the user.
This all works well. but if I stop the session and then restart it with feed_overlap set to false, my model has to label all the images that are already manually labeled, even though they are never shown to the user because of the dataflow.
This result in a several minute loading page the first tam a laberer opens the new session and wasted computer resources.
Is there a way to avoid this ? A way to update the image stream only AFTER it is decided that the image is not in the database and should be shown to the user ?