- Task design wizard!
- Extensive showcase of 80+ annotation tasks from real papers
- So much documentation
You can easily add your tasks to our showcase with a pull request here github.com/davidjurgens...
- Task design wizard!
- Extensive showcase of 80+ annotation tasks from real papers
- So much documentation
You can easily add your tasks to our showcase with a pull request here github.com/davidjurgens...
- New support for Amazon Mechanical Turk!
- Passwordless servers for trusted environments
- Dynamic data loading—new data can be added to a running server (h/t @mariaa.bsky.social for the request)
- Easier debugging
- So much new documentation
- New support for Amazon Mechanical Turk!
- Passwordless servers for trusted environments
- Dynamic data loading—new data can be added to a running server (h/t @mariaa.bsky.social for the request)
- Easier debugging
- So much new documentation
- The whole Potato UI has been overhauled to support mobile annotation better
- New task-specific UI customization lets you easily adjust your task's specific layout without hacking the tool
It's now super easy to polish your design the way you want on Potato
- The whole Potato UI has been overhauled to support mobile annotation better
- New task-specific UI customization lets you easily adjust your task's specific layout without hacking the tool
It's now super easy to polish your design the way you want on Potato
- Annotators can go through mandatory training
- Support for multiple pre/post-annotation surveys
- Chain together different annotation tasks one-after-another
- Expertise-base instance routing
We're working on more dynamic flows and item routing too!
- Annotators can go through mandatory training
- Support for multiple pre/post-annotation surveys
- Chain together different annotation tasks one-after-another
- Expertise-base instance routing
We're working on more dynamic flows and item routing too!
- Attention checks (catch distracted annotators)
- Gold standard tracking
- Live inter-annotator agreement metrics
- Training phase with feedback
We have a whole new admin dashboard to keep track of annotation process in real time
- Attention checks (catch distracted annotators)
- Gold standard tracking
- Live inter-annotator agreement metrics
- Training phase with feedback
We have a whole new admin dashboard to keep track of annotation process in real time
- Audio annotation with segment labeling and waveform visualization
- Video annotation with frame-by-frame labeling
- Image region labeling
One platform for text, audio, video, and images—or multimodal!
- Audio annotation with segment labeling and waveform visualization
- Video annotation with frame-by-frame labeling
- Image region labeling
One platform for text, audio, video, and images—or multimodal!
Potato 2.0 works with multiple LLM providers (OpenAI, Anthropic, Gemini) and local LLMs (vLLM, Ollama) to help annotators work faster:
- Intelligent hints without giving answers
- Keyword highlighting
- Label suggestions
Your annotators get guidance. You keep control.
Potato 2.0 works with multiple LLM providers (OpenAI, Anthropic, Gemini) and local LLMs (vLLM, Ollama) to help annotators work faster:
- Intelligent hints without giving answers
- Keyword highlighting
- Label suggestions
Your annotators get guidance. You keep control.