Objective Evaluate and compare the performance of two image generation models Nano Banana and Seedream 4.0 across multiple creative and technical dimensions. The goal is to design a robust evaluation rubric, generate comparative outputs, and present structured insights on each model's strengths, weaknesses, and areas for improvement. Assignment Overview 1. Design and execute 10 image generation tasks relevant to realistic or creative business use cases. 2. For each task, generate visual outputs using both models Nano Banana and Seedream 4.0. 3. Develop custom evaluation rubrics to assess the generated images across qualitative and quantitative dimensions. 4. Annotate and score all outputs according to your defined rubrics. 5. Document your observations, results, and insights in a structured summary report. Deliverables 1. Image Outputs 10 tasks x 2 model outputs (total of 20 generated images). 2. Evaluation Sheet Scoring and annotation for all 10 tasks using your custom evaluation rubrics. Include both quantitative scores and qualitative notes. Evaluation sheet template for reference Image Gen Template 3. Summary Report Overall model comparison across key dimensions. Strengths and weaknesses of each model. Insights or suggested improvements based on observed patterns and behavior. Include visualizations or tables to support your analysis.