I built a real-time collaborative CV annotation tool using CRDTs and WebRTC

说明与用途

Sightline CRDT 让机器学习团队能够实时协作审计和修正边界框，使用 Yjs CRDTs 与 WebRTC，无冲突，支持语音指令和直接导出 COCO/YOLOv8。

问题

Machine learning and computer vision teams need to audit and fix training bounding boxes collaboratively without merge conflicts.

结果

The tool enables zero‑merge‑conflict collaborative annotation with voice control and instant export, improving audit efficiency.

工作流

• Open the Sightline CRDT web app
• Select an image to annotate
• Invite teammates via the P2P link
• Use the UI or voice commands to adjust boxes
• Export annotations in COCO or YOLOv8 format

证据

Sightline CRDT, an open in-browser tool for machine learning and computer vision teams to collaboratively audit and fix training bounding boxes without merge conflicts.

来源

Powered by Yjs CRDTs over WebRTC so multiple auditors can inspect the same image simultaneously with zero merge conflicts.

来源

Voice Patching: Speak verbal commands like "Nudge box left" to correct coordinates and labels hands‑free.

来源

Full COCO and YOLOv8 export directly from browser memory.

来源