Scenario requirements
When team members use different operating systems (Windows/macOS/Linux) to collaborate on annotations, traditional solutions face: 1) annotation format compatibility issues 2) data synchronization difficulties 3) privacy leakage risks
operating scheme
MakeSense delivers triple assurance through the browser technology stack:
- Installation-free cross-platform::
- Any device accessing https://makesense.ai即时使用
- Support Chrome/Firefox/Edge and other major browsers
- Automatically saves annotation data in the browser IndexedDB.
- Secure Collaborative Processes::
- The main labeler exports a zip package in YOLO format (with images + labels folder)
- Sharing to collaborators via encrypted disk
- Collaborators click "Import Labels" to import and continue editing.
- Localized Deployment Options::
- Docker Deployment:
docker run -dit -p 3000:3000 --name=make-sense make-sense - Intranet access http://[Server IP]:3000
- Labeling data does not pass through external servers
- Docker Deployment:
caveat
1) Manual backup using Ctrl+S is recommended every 2 hours 2) Local deployment mode is recommended for sensitive data 3) Teams need to standardize label naming conventions
This answer comes from the articleMakeSense: a free-to-use image annotation tool to improve computer vision project efficiencyThe
May not be reproduced without permission:AI productivity tools " How to enable cross-platform image annotation collaboration and guarantee data privacy?
