This video discusses evaluating generative and transformation models. It highlights the difficulty of assessing average data quality due to challenges in evaluating individual data points and overall dataset diversity. The video introduces Inception Score and Fréchet Inception Distance (FID) as common evaluation metrics, emphasizing the need for the same pre-trained model for fair comparisons and sufficient generated data for accurate diversity assessment. Limitations of these metrics, such as dependence on the pre-trained model's accuracy, are also noted.