Introducing Potato 2.0: AI-Powered Annotation

We're thrilled to announce the release of Potato 2.0, the most significant update to our annotation platform since its inception. This release brings AI-powered features, enhanced multimedia support, and sophisticated active learning capabilities that will transform how you create training data.

What's New in Potato 2.0

AI-Powered Annotation Assistance

Potato 2.0 introduces seamless integration with leading AI models including OpenAI GPT-4, Anthropic Claude, and Google Gemini. These integrations enable:

Smart Suggestions: AI models can provide annotation suggestions that annotators can accept, modify, or reject
Automatic Keyword Highlighting: Important terms and phrases are automatically highlighted to guide annotator attention
Quality Hints: Real-time feedback helps annotators understand potential issues with their annotations

yaml

# Enable AI assistance in your config
ai_support:
  enabled: true
  endpoint_type: openai
 
  ai_config:
    model: gpt-4
    api_key: ${OPENAI_API_KEY}
 
  features:
    hints:
      enabled: true
    keyword_highlighting:
      enabled: true
    label_suggestions:
      enabled: true

Enhanced Multimedia Support

Building on our text annotation foundation, Potato 2.0 adds robust support for:

Image Annotation: Classification, bounding boxes, polygons, and keypoint detection
Audio Annotation: Waveform visualization, transcription review, speaker diarization
Video Annotation: Frame-by-frame navigation, temporal event marking, object tracking

Active Learning Integration

Reduce your annotation effort by up to 50% with our new active learning module:

Sklearn Classifier Integration: Use any sklearn classifier to prioritize items where the model is least confident
Automatic Retraining: Models retrain as annotations accumulate, continuously improving sampling decisions
Flexible Configuration: Specify your classifier and feature extraction methods directly in YAML

Migration from Potato 1.x

Upgrading from Potato 1.x is straightforward. Your existing YAML configurations remain compatible, and we've added a migration tool to help you adopt new features:

bash

# Upgrade your installation
pip install --upgrade potato-annotation
 
# Run the migration helper
potato migrate config.yaml --to-v2

Performance Improvements

Potato 2.0 includes several performance enhancements:

Optimized page rendering for smoother annotation experience
Improved data loading for large datasets
Better session management for multi-annotator workflows

Getting Started

Ready to try Potato 2.0? Installation is simple:

bash

pip install potato-annotation
potato start your_config.yaml

Check out our Quick Start Guide for a complete walkthrough, or explore the Showcase to see example configurations.

What's Next

Potato has continued to evolve rapidly:

Potato 2.1 added instance display, visual AI support (YOLO, Ollama Vision, OpenAI Vision), span linking, and layout customization.

Potato 2.2 (now available!) adds 9 new annotation schemas (event annotation, entity linking, triage, pairwise comparison, coreference chains, conversation trees, and more), a pluggable export CLI, MACE annotator competence estimation, 55 validated survey instruments, and remote data sources.

Read about Potato 2.2 →

Thank you to our community of researchers and practitioners who have helped shape Potato. Your feedback drives our development, and we're excited to see what you build.

Have questions or feedback? Join our GitHub Discussions or reach out on Twitter @PotatoAnnotation.