Annotation Checklist
Annotation Checklist
General Items
- Backup all annotated data and documentation
- Prepare a report summarizing the annotation process and outcomes
- Plan for future annotation iterations or updates
Pre-Annotation Preparation
- Define annotation objectives and goals
- Select appropriate annotation tools or software
- Gather and prepare datasets for annotation
- Establish guidelines and standards for annotation
- Train annotators on guidelines and tools
Annotation Process
- Review and understand the annotation guidelines
- Annotate the dataset according to guidelines
- Ensure consistency in annotations across different annotators
- Document any challenges or ambiguities encountered during annotation
- Conduct regular quality checks during annotation
Post-Annotation Review
- Perform a thorough review of annotated data
- Ensure compliance with the established guidelines
- Resolve any discrepancies or errors in annotations
- Gather feedback from annotators on the process
- Finalize the annotated dataset for further use
Generated from Panda Checklist
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