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You are building a system to generate captions for images. You want to evaluate how well the generated captions describe the content of the images. Which of the following metrics are most suitable for evaluating the quality of image captions?
Correct Answer: B,D
BLEU and ROUGE are standard metrics for evaluating the quality of generated text, especially in the context of machine translation and text summarization. BLEU measures the precision of n-grams in the generated text compared to reference texts, while ROUGE measures the recall. Pixel accuracy and Inception Score are more relevant for image classification and image generation tasks, respectively. F1-Score could be used if you manually labeled different image aspects of the caption.