From Pixels to Prose: A Large Dataset of Dense Image Captions

Understand

Training large vision-language models requires extensive, high-quality image-text pairs.

• Existing web-scraped datasets, however, are noisy and lack detailed image descriptions.
• To bridge this gap, we introduce PixelProse, a comprehensive dataset of over 16M (million) synthetically generated captions, leveraging cutting-edge vision-language models for detailed and accurate descriptions.
• To ensure data integrity, we rigorously analyze our dataset for problematic content, including child sexual abuse material (CSAM), personally identifiable information (PII), and toxicity.