Which of the following metrics is used for evaluating the quality of generated images?

Which of the following metrics is used for evaluating the quality of generated images?

• A. F1 score
• B. BLEU score
• C. Inception score
• D. Precision score

Answer: (C)

The Inception score is specifically designed for evaluating the quality of generated images in generative models such as GANs (Generative Adversarial Networks). This metric leverages a pre-trained Inception model to recognize the generated images and assigns a score based on how well these images align with real images within a dataset. The higher the Inception score, the better the generated images are in terms of their variety and realism, reflecting both the quality and the diversity of the outputs produced by the model. Inception score focuses on two main aspects: the clarity of the generated images and the diversity across classes of images. This makes it particularly suitable for image generation tasks, unlike the other metrics mentioned, which are designed for different types of tasks. For instance, the F1 score and Precision score are commonly used in classification tasks, while the BLEU score is used for evaluating the quality of text translations. Thus, Inception score stands out as an appropriate metric for assessing image quality in generative models.

The Inception score is specifically designed for evaluating the quality of generated images in generative models such as GANs (Generative Adversarial Networks). This metric leverages a pre-trained Inception model to recognize the generated images and assigns a score based on how well these images align with real images within a dataset. The higher the Inception score, the better the generated images are in terms of their variety and realism, reflecting both the quality and the diversity of the outputs produced by the model.

Inception score focuses on two main aspects: the clarity of the generated images and the diversity across classes of images. This makes it particularly suitable for image generation tasks, unlike the other metrics mentioned, which are designed for different types of tasks. For instance, the F1 score and Precision score are commonly used in classification tasks, while the BLEU score is used for evaluating the quality of text translations. Thus, Inception score stands out as an appropriate metric for assessing image quality in generative models.