Data annotation
Label documents, images, video and geospatial data. Experts identify the fields, objects and events your model needs to understand.
- Document fields
- Object labels
- Spatial boundaries
Canadian experts prepare training data and evaluate AI models for government and public-sector organisations.
Discuss a projectExpert-reviewed data for the models behind public services.
Label documents, images, video and geospatial data. Experts identify the fields, objects and events your model needs to understand.
Organise source material into consistent training and evaluation datasets. Review labels, resolve conflicting examples and identify gaps in coverage.
Test AI responses against expert-reviewed answers and task-specific criteria. Assess accuracy, completeness and performance in English and French.
From the first annotation to the review of a model’s response.
Canadian professionals apply their engineering, financial, language and technical knowledge to the tasks your AI system must perform.
Review comprehension, terminology and response quality in both official languages, including the differences that translation alone can miss.
Use clear annotation guidelines, expert checks and resolved disagreements to make datasets consistent and model weaknesses easier to identify.
Training and evaluation tasks grounded in Canadian applications.
Annotate forms, permits and correspondence for document extraction, classification and bilingual response evaluation.
Label inspection imagery and road footage to evaluate object detection, condition assessment and event recognition.
Annotate forests, land cover and waterways in aerial or satellite imagery. Evaluate segmentation and change-detection outputs.
Bring expert training data and model evaluation into your programme.
Discuss a project