Send Sample Data
Share a controlled-access dataset link and relevant project context.
Computer Vision Annotation Pilot
Test Our Annotation Quality Before You Scale
Send us a small sample dataset.
We review your annotation guidelines, label the data, run QA, identify ambiguous cases, and return a model-ready pilot so your team can evaluate our quality before committing to a larger engagement.
Pilot workflow
From sample data to an informed scaling decision
Each step is adapted to your data, annotation method and acceptance criteria. The pilot is designed for evaluation and does not guarantee a particular model result.
Review Guidelines
We review classes, examples, exclusions, output format and acceptance rules.
Annotate Pilot
A defined sample is labeled using the agreed method and instructions.
Quality Assurance
Labels are checked against guidelines and agreed acceptance criteria.
Ambiguity & Edge-Case Review
Unclear and difficult cases are recorded for discussion or guideline refinement.
Receive Results
You receive the pilot outputs and supporting review notes.
Scale if Satisfied
If the pilot fits your needs, we discuss a suitable production workflow.
Pilot deliverables
What You Receive
Deliverables are finalized during scoping so they match your data and evaluation needs.
Annotated sample dataset
QA-reviewed labels
Annotation consistency review
Ambiguous case report
Edge-case observations
Recommended guideline clarifications
Delivery summary
Optional scaling recommendation
Example scenarios
Difficult visual-data workflows the pilot can evaluate
The following are example scenarios, not client case studies or claims of project results.
Retail computer vision
Crowded shelves, partially occluded products, visually similar packaging and changing product placement.
Manufacturing AI
Small defects, inconsistent lighting, rare fault classes and ambiguous defect boundaries.
Robotics
Object interaction, temporal sequences, grasping scenarios and difficult edge cases.
Video analytics
Object tracking, partial visibility, events across frames and crowded scenes.
Agritech
Crop disease, changing weather, different growth stages and drone imagery.
Why Northern Base AI Labs
A specialist partner for difficult annotation work
Engineering-led annotation
Workflows connect annotation decisions to model use cases, data variation and delivery requirements.
Direct technical communication
Discuss guidelines, edge cases, tools and quality criteria without unnecessary layers.
Transparent QA
Review logic, ambiguity and corrections can be documented as part of the pilot.
Guideline refinement
Unclear rules and conflicting examples are surfaced before production volume increases.
Difficult computer vision workflows
Evaluate occlusion, visually similar objects, temporal context and boundary ambiguity.
Flexible pilots before scaling
Start with a defined sample and decide whether the workflow fits your larger engagement.
Pilot request
Tell us about your annotation project
Provide a controlled-access link if available. Do not include passwords, API keys or confidential credentials in this form.
FAQ
Computer vision annotation pilot questions
How large should the pilot dataset be?
The right size depends on the data type, annotation method and variation in the dataset. We agree on a practical sample after reviewing the project.
What annotation types do you support?
Common methods include classification, bounding boxes, polygons, keypoints, segmentation, video tracking and LiDAR annotation.
Can you work with existing annotation guidelines?
Yes. We can work from existing guidelines and flag unclear rules or cases that need clarification.
What if our guidelines are incomplete?
We can identify gaps and recommend clarifications before or during the pilot.
Do you provide quality assurance?
Yes. Pilot labels are reviewed against the agreed guidelines and acceptance criteria.
Can you handle difficult edge cases?
The pilot can include occlusion, ambiguity, visually similar objects and other difficult cases for explicit review.
Can the pilot scale into an ongoing project?
Yes. If the pilot meets your needs, we can discuss workflow, volume, quality controls and delivery for a larger engagement.
How do we share sample data securely?
Use the form to provide a controlled-access dataset link or request a discussion about an appropriate transfer method. Do not place credentials in the form.