We list some of the use cases that Splash-ML was created to support
User asks the TagService for all models known to the system. Information is returned about each model known to the system and when the model was created.
User asks the TagService for all tags known to the system. Once returned, the user may ask for a list of all assets with a given tag.
User asks the TagService for a list of all assets without a tag.
User asks the TagService for a list of all assets that have a tag of foo. Optionally, the user may provide a range of confidence values in the query.
User wants to create a training and testing set that have already been tagged. The user asks the TagService for a list of images with multiple tags. A list is provided, with the tags for each image. The system can then create a folder structure to feed an ML model (organized by tag).
Tag data at the beamline