Why choose this project topic?
A study of checking whether generated captions mention objects actually visible in an image gives this topic a concrete purpose beyond simply adding an AI model. Comparing object factuality, omission rate and reviewer agreement helps a student demonstrate capability, inspect failure cases and explain where human review or a simpler method remains necessary.
How effectively can image caption factuality assessment support checking whether generated captions mention objects actually visible in an image, evaluated using object factuality, omission rate and reviewer agreement?
Choose a feasible licensed or synthetic dataset and available compute budget, then agree a narrow evaluation for checking whether generated captions mention objects actually visible in an image with your supervisor.
Proposed project objectives
- 01Define the task, evidence and evaluation assumptions for checking whether generated captions mention objects actually visible in an image.
- 02Use licensed images with reviewed object annotations, compare caption prompts or models and score unsupported object claims separately from fluency.
- 03Measure object factuality, omission rate and reviewer agreement against a stated baseline and analyse failure cases.
A suggested research approach
Use licensed images with reviewed object annotations, compare caption prompts or models and score unsupported object claims separately from fluency. Check dataset permissions and keep evaluation examples separate from model development. Record model versions, prompts or training settings, then compare object factuality, omission rate and reviewer agreement using repeatable runs and retain incorrect outputs for a transparent limitations discussion.
What you will need
- Licensed images
- Reviewed object annotations
- Permitted caption model
Keep your project scope clear
Fluent captions can still be wrong and should not replace human interpretation in consequential settings. Generated project writing does not include a trained or deployed AI application.
Artificial Intelligence project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3System Analysis and Design
- Chapter 4System Implementation and Testing
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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