Smarter annotation workflows:
- MACE annotator competence estimation: model reliability, weight aggregation
- LLM-based option highlighting: subtle AI cues without biasing
- Embedding-based diversity ordering: reduce fatigue from repetitive items
- Video object tracking with keyframe interpolation
Potato v2.2.0 is out! The biggest release yet: 9 new annotation schemas, pluggable export system, MACE integration, 55 survey instruments, and much more.
github.com/davidjurgens...
Lots of UX improvements that make annotation faster:
- Navigation bar with status badges + skip-to-unannotated
- Grid-based form layouts
- Resizable display panels
- Conditional display logic (show/hide fields based on responses)
- PDF/Word/code rendering in-browser
New pluggable export system with 8 formats:
COCO JSON (with RLE masks), YOLO, Pascal VOC, CoNLL-2003, CoNLL-U, Mask PNG, EAF (ELAN), TextGrid (Praat)
New support for loading data from anywhere:
URLs, Google Drive, Dropbox, S3, HuggingFace datasets, Google Sheets, databases
Plus: 55 validated survey instruments (SUS, NASA-TLX, UMUX, OCEAN, AttrakDiff...) ready to drop into your post-study workflow. Learn more about your annotators!
Potato 2.1 is here! Our open-source annotation platform now includes
- multi-field span annotation (e.g., labeling premise/hypothesis separate)
- span linking for relation extraction, and
- AI-assisted visual annotation with YOLO + VLLMs—bounding boxes, labels, rationales, and many more!
New annotation types in v2.2:
- N-ary event annotation (triggers + arguments)
- Entity linking (Wikidata, UMLS, custom KBs)
- Pairwise comparison (A/B + slider)
- Triage (rapid accept/reject/skip)
- Coreference chains
- Conversation trees
- Discontinuous spans
All configurable via YAML.
