Cloud storage improvements
- Set up Microsoft Azure as source or target storage for tasks and completions (@keesschollaart81).
- Set up Redis as source or target storage for tasks and completions. (@kasuteru)
- Added an option to set the Amazon AWS S3 endpoint with an environment variable when setting up cloud storage (@herber523).
See Cloud Storages.
Automated Speech Recognition with Nvidia NeMo ML backend
- Added an example for Automatic Speech Recognition (ASR) machine learning backend using NVIDIA NeMo toolkit, including an ASR_MANIFEST export format.
- Updated the Label Studio Frontend for textarea labeling to make it easier to update transcription labels.
- Renamed the template "Whole Audio Transcription" to "Speech Transcription".
Other improvements
- POST a label config as XML using the API (@laynr).
- Add a while loop to check for more busy ports (@UtrechtUniversity).
- Use pre-labeling to make predictions for specific tasks by ID.
- No longer require tasks and completions to be ASCII-formatted, supporting non-ASCII languages like Persian (#578)
- Improved the workflow for importing data to make it easier to fix label configuration errors.
- Improved the timeseries data import flow to make it clearer how to import from text files.
- Improved the multi-session mode experience.
Notable bug fixes
- Fixed an issue where exported data would have duplicate completions.
- Fixed a bug when uploading files in multi-session mode.
- Improved handling of timeseries and polygon labels.
- Fixed a bug where the .conll export format misses labels or assigns them to the subsequent token.