Can you recommend a computer vision labeling tool for creating segmentation masks with a small annotation team?

Yes — for a small team doing segmentation masks, I’d recommend these first:

Best overall: CVAT

• Great for polygon, brush, and mask-based segmentation
• Supports team collaboration, role management, and review workflows
• Can be self-hosted for better control over data/privacy
• Free/open-source, which is helpful for smaller teams
• Strong export options for common ML formats

Why pick it: It’s usually the best balance of power, collaboration, and cost.

Good simpler alternative: Label Studio

• Easier to get started with
• Supports segmentation tasks, though the workflow is a bit more general-purpose than CVAT
• Nice if you want to label other data types too later
• Can also be self-hosted

Why pick it: Good if you want flexibility and a gentler learning curve.

If you want a polished commercial option: Supervisely

• Very strong annotation UX
• Excellent for segmentation and team workflows
• Includes automation/AI assistance
• More expensive, but very productive

Why pick it: Best if budget is less of a concern and you want a smoother managed experience.

My quick recommendation

• Small team + segmentation masks + cost-conscious: CVAT
• Small team + easiest general-purpose workflow: Label Studio
• Small team + premium product experience: Supervisely

If you want, I can also recommend based on:

1. self-hosted vs cloud,
2. budget, or
3. image vs video segmentation.