Annot8 Efficient Annotation Tips
For high-volume image annotation scenarios, Annot8 provides a series of practical tips to improve efficiency:
- Organizational documentation structure: Put similar images into the same folder, enable "batch mode" for continuous labeling, reduce interface switching.
- Use shortcutsSkillful use of Command+Z (Undo), Command+E (Export) and other core hotkeys can save more than 30% time.
- label reuse: Use shortcuts to quickly reuse existing tags for recurring similar targets.
- batch processing: Load no more than 500 images at a time to avoid exhausting system resources
- Preview checking mechanism: Regularly use the preview function to spot-check the quality of the markup and avoid extensive rework at a later stage.
In addition, for high-resolution images such as 4K, it is recommended to appropriately reduce the display ratio before labeling (but without affecting the actual output accuracy) to ensure the smoothness of the interface. For team collaboration, a unified labeling specification can be established before dividing the work and finally merging the CSV files.
This answer comes from the articleAnnot8: Quickly Labeling Images to Train AI ModelsThe
May not be reproduced without permission:AI productivity tools " What are some tips for optimizing productivity when using Annot8 for high-volume image annotation?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil