Home / Education / Image Annotation and Dataset Preparation
Artificial Intelligence

Image Annotation and Dataset Preparation

GPP Education Faculty · 8 hours · Intermediate · ★ 4.5 (1,120 learners)

Learning outcomes

  • Write an annotation protocol
  • Manage inter-annotator variability
  • Structure a dataset for model development
  • Apply anonymisation requirements

Curriculum

Module 1: Annotation types
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 2: Writing protocols
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 3: Inter-annotator agreement
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 4: Dataset splits and leakage
Recorded lectures, reading list, worked examples and a short self-assessment.
Module 5: Anonymisation and governance
Recorded lectures, reading list, worked examples and a short self-assessment.

Certification

Certificate of completion. Awarded on completion of all modules.

Course certificates state clearly whether they represent participation, completion, assessment or CME credit. They do not constitute professional certification or a licence to practise.