Flickr8k is a benchmark dataset consisting of 8,000 images sourced from Flickr, with each image paired with five human-written captions. The captions describe the visual content in natural language, capturing objects, actions, and contextual details. The dataset is relatively small compared to modern large-scale corpora but is carefully curated and annotated, making it suitable for controlled experimentation and benchmarking in vision–language research.
Flickr8k Is Commonly Used For Image Captioning, Cross-modal Retrieval, And Evaluation Of Vision–language Models. Its Manageable Size Makes It Ideal For Prototyping, Teaching, And Benchmarking New Algorithms. Researchers Use It To Test Caption Generation Quality, Alignment Between Images And Text, And Model Generalization On Descriptive Tasks.
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