PRODIGY v1.10: Dependencies, relations, audio, video, extended NER and image annotation & lots more
Prodigy (https://prodi.gy) is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. Version 1.10 includes tons of new features, including manual dependency and relation annotation, audio and video annotation, a new and improved image UI, new recipe callbacks, more settings for manual NER, plus various new config options and settings.
OVERVIEW
01:42 – Dependency and relation annotation
02:45 – Dependency parsing
03:02 – Coreference resolution
03:23 – Joint span and relation annotation
04:56 – Biomedical event extraction
06:07 – Audio and video annotation
07:03 – Transcription and custom interfaces
07:32 – Speaker diarization with a model in the loop
09:10 – Improved manual image annotation
10:57 – NER annotation for fine-tuning transformers
12:57 – Character-based span annotation
13:26 – before_db recipe callback
14:25 – validate_answer recipe callback
15:13 – UI config: translation, buttons, sidebar
PRODIGY
● Website & docs: https://prodi.gy
● Live demo: https://prodi.gy/demo
● Forum: https://support.prodi.gy
● Recipe scripts: https://github.com/explosion/prodigy-...
THIS VIDEO
● v1.10 Changelog: https://prodi.gy/docs/changelog#v1.10
● Dependencies & Relations: https://prodi.gy/features/dependencie...
● Audio & Video: https://prodi.gy/features/audio-video
● NER annotation for transformers: https://prodi.gy/docs/named-entity-re...
● pyannote.audio: https://github.com/pyannote/pyannote-...
● pyannote.audio video: • pyannote audio: neural building blocks for...
● pyannote.audio recipes: https://github.com/pyannote/pyannote-...