Practical Data Annotation for Image and Text Labelling Course
Practical annotation skills from writing clear guidelines to gold-standard checks, mastering labelling taxonomies, edge cases, and fairness. Build robust adjudication workflows, inter-annotator agreement metrics, and reproducible dataset documentation. Explore image and text labelling, with export formats like COCO JSON, YOLO, JSONL, and secure handling of privacy/PII. Short, hands-on modules that lift model training quality and project delivery.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Practical annotation skills from writing clear guidelines to gold-standard checks, mastering labelling taxonomies, edge cases, and fairness. Build robust adjudication workflows, inter-annotator agreement metrics, and reproducible dataset documentation. Explore image and text labelling, with export formats like COCO JSON, YOLO, JSONL, and secure handling of privacy/PII. Short, hands-on modules that lift model training quality and project delivery.
Elevify advantages
Develop skills
- Taxonomy design: build scalable label hierarchies for accurate tagging.
- Quality controls: gold standards spot audits and reproducibility.
- Annotation workflows: adjudication consensus expert review and loops.
- Dataset readiness and ethics: bias mitigation privacy handling provenance and licensing.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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