We label your data.
A quality-first annotation partner for reliable computer vision models.
Industries we serve
Built for computer vision teams across multiple domains
AgriTech
Food processing
Industrial automation
Why Q2Label
Annotations
Providing classification, (rotated) bounding boxes, segmentation, and keypoints in industry standard annotation formats (COCO, YOLO, PASCAL VOC, CVAT).
Quality first
Clear instruction refinement, well-designed (multi-)labeller workflows, and strict quality control ensure consistently high standards.
Volume
Up to 100k annotations per week, supporting high-volume vision systems in production environments.
Cost efficient
Repeatable annotation workflows designed for continuous model improvement.
Seamless integration
Custom Python tooling for fast and reliable delivery into your ML pipelines.
Process
Intake
Let’s meet! We discuss your project goals, desired outcomes, and data volume. You share sample images that illustrate your annotation requirements. Clear expectations upfront ensure a smooth and efficient process.
Step 01
Free Pilot
Together we formulate or refine instructions and annotate a trial batch, showcasing our quality. Only if the pilot meets your expectations, we agree on definitive requirements, ensuring consistent and high-quality annotations.
Step 02
Scale
We deliver high-quality annotations at volume, with fast turnaround times. From early experiments to production-level datasets, we support ongoing batches so your computer vision models maintain strong and reliable performance over time.
Step 03
"We’ve seen how unclear instructions ruin datasets. That’s why we lock quality before scaling."
"We understand the importance of qualitative data to improve your model performance at experimentation and in production"
