IMAGE EVALUATION
In this project, I compared two images generated from the same prompt to evaluate their quality, realism, and alignment with the intended output. I assessed each image based on visual accuracy, detail, composition, and overall relevance, while also determining whether the images appeared real or AI-generated by examining artifacts, inconsistencies, and unnatural elements. I identified differences in how key features were represented, noted any distortions or synthetic patterns, and determined which image better captured a natural, realistic appearance. I then provided a clear, evidence-based rationale explaining why one image was more effective, highlighting specific strengths and weaknesses in each. This process helped identify which model produced more convincing and visually coherent results.