#Audioclip getdata to byte install#

If you want an annotated task export to include the data that you annotated, you must import the data into the Label Studio database without using URL references, or combine the data with the annotations after exporting. Note: If you load data from a URL, the data is not saved in Label Studio.

To load data directly into the Label Studio database, specify valueType='text' for HyperText or Text data, or valueType='json' for Paragraph or TimeSeries data.

To load data from a URL, specify valueType='url' in your labeling configuration.

If youвЂ™re importing HTML, text, dialogue, or timeseries data using the, ,, or tags in your labeling configuration, you can either load data directly, or load data from a URL. If youвЂ™re importing audio, image, or video data, you must use URLs to refer to those data types. You can import a list of URLs in a TXT, CSV, or TSV file, or reference the URLs in JSON task format. The most secure and reliable method to import your data is to store the data outside of Label Studio and import references to the data using URLs. If you donвЂ™t see a supported data or file type that you want to import, reach out in the Label Studio Slack community. The file types supported depend on the type of data. You can import many types of data, including text, timeseries, audio, and image data. Types of data you can import into Label Studio

If your data contains predictions or pre-annotations, see Import pre-annotated data into Label Studio.

If your data is stored locally, import it into Label Studio.If your data is stored at internet-accessible URLs, in files, or directories, import it from the Label Studio UI.If your data is stored in a Redis database, see Sync data from cloud or database storage.If your data is stored in a cloud storage bucket, see Sync data from cloud or database storage.Get data into Label Studio by importing files, referencing URLs, or syncing with cloud or database storage.

#Audioclip getdata to byte install#

Install Label Studio Enterprise on-premises using DockerДeploy Label Studio Enterprise on Kubernetes