![]() If you’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 don’t see a supported data or file type that you want to import, please let us know by submitting an issue to the Label Studio Repository. 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 One import per 30 seconds will work without overloads. Avoid frequent imports because each new import requires lengthy background operations.It’s best to keep about 100k tasks / 100k annotations per project for optimal performance.We recommend that you configure external storage instead. This works fine for proof of concept projects, but it is not recommended for larger projects. For larger projects, do not upload data through the Label Studio interface.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. ![]()
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