AI Image Evaluation & Prompt Optimisation
Reviewed and evaluated AI-generated images for quality, accuracy, consistency, and age-appropriateness within an educational context. Assessed outputs against defined criteria, including visual clarity, alignment with prompts, and suitability for young learners. Identified common failure patterns and inconsistencies, providing structured feedback to improve output quality. Iteratively refined image prompts and developed guidelines to standardise outputs, effectively improving consistency and reducing error rates. This work involved classification of image quality and alignment, as well as applying consistent evaluation frameworks similar to image annotation workflows.