What are the common metrics used to evaluate image captioning models?
Common metrics include BLEU, METEOR, ROUGE, and CIDEr, which assess the quality of generated captions.
Can you explain how BLEU score works?
BLEU measures the overlap between generated captions and reference captions using n-grams.
Are there any limitations to these evaluation metrics?
Yes, metrics like BLEU may not capture semantic meaning or context well, leading to misleading scores.
What are some human evaluation methods for image captioning?
Human evaluations often involve rating captions for relevance, fluency, and informativeness, providing qualitative insights.
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