OmniCap-400M: 400 Million Image-Caption Pairs from the Web

400 million diverse image-caption pairs collected from the open web support multimodal AI research. The dataset includes rich metadata for filtering and deduplication. It was created by Ajax102 and last updated on Hugging Face in January 2026.

Use Cases

• Vision-language model pretraining based on the large-scale collection of image-text pairs.
• Image captioning model training based on the diverse web-sourced captions.
• Cross-modal retrieval benchmarking based on the paired image and text data.
• Text-to-image generation model training based on the described image-caption relationships.

Strengths

• 400 million image-caption pairs provide a large-scale resource.
• Rich metadata is included to facilitate filtering and analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic, temporal, or source bias inherent to web-crawled content.

Provenance

Source

Collected from the open web.

Collection Method

Likely gathered via web crawling.

Freshness

Last updated 2026-01-13 02:22:45; freshness should be verified.