o a format appropriate for your specific use case.sync_new_data_to_label_studio step - This step is for ensuring that ZenML is handling the annotations and that the files being used are stored and synced with the ZenML cloud artifact store. This is an important step as part of a continuous annotation workflow since you want all the subsequent steps of your workflow to remain in sync with whatever new annotations are being made or have been created.

Helper Functions

Label Studio requires the use of what it calls 'label config' when you are creating/registering your dataset. These are strings containing HTML-like syntax that allow you to define a custom interface for your annotation. ZenML provides three helper functions that will construct these label config strings in the case of object detection, image classification, and OCR. See the integrations.label_studio.label_config_generators module for those three functions.

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