![]() ![]() This excerpt specifies value="$csv" in the TimeSeries Object tag. For example, the following excerpt of a time series labeling configuration. Use the data object to reference the value of the data specified by the Object tag in your labeling configuration. The JSON format for pre-annotations must match the labeling configuration used for your data labeling project. See how to add results to the predictions array. A predictions array that contains the pre-annotation results for the different types of labeling.This can be a URL to an audio file, a pre-signed cloud storage link to an image, plain text, a reference to a CSV file stored in Label Studio, or something else. A data object which references the source of the data that the pre-annotations apply to.Label Studio JSON format for pre-annotations must contain two sections: ![]() ![]() Check this common video tutorial showing how to convert a submitted annotation to a prediction: JSON format for pre-annotations New features are frequently added to the typing module. The Label Studio ML backend also outputs tasks in this format. The function below takes and returns a string and is annotated as follows: def greeting(name: str) -> str: return 'Hello ' + name In the function greeting, the argument name is expected to be of type str and the return type str. Including typing semantics is hugely corrosive to the design of Python, even as a hint to inform the tool chain. Note your ideas about the characters right in the text (. It means that all typing assumptions, if any, are part of the code base. Highlight and mark for yourself words and phrases that help describe the personality of characters. To import predicted labels into Label Studio, you must use the Basic Label Studio JSON format and set up your tasks with the predictions JSON key. by FuriousBugger Unpopular Opinion: Type hints are a mistake. Input default name, such as capitalize the. The Text Form Field Options window will pop up. You can import pre-annotated tasks into Label Studio using the UI or using the API. Again put your cursor at the place where you have to format the text content. To generate interactive pre-annotations with a machine learning model while labeling, see Set up machine learning with Label Studio. ![]()
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