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Home > All Category Datasets > LLM Datasets > 300M Image-Caption Pairs – Large-Scale Vision-Language Dataset for AI Training

300M Image-Caption Pairs – Large-Scale Vision-Language Dataset for AI Training

image-caption dataset

image-text pairs

vision-language data

generative AI training dataset

multimodal AI dataset

image description data

LLM vision data

AI image-text alignment

high-quality image data

300 Million Pairs of High-Quality Image-Caption Dataset includes a large-scale collection of photographic and vector images paired with English textual descriptions. The complete image library comprises nearly 300 million images, with a curated subset of 100 million high-quality image-caption pairs available for generative AI and vision-language model training. All images are authentic and legally licensed works created by professional photographers. The dataset primarily features English captions with minimal Chinese, offering diverse scenes, objects, and compositions suitable for tasks such as image captioning, visual question answering (VQA), image-text retrieval, and multimodal foundation model pretraining. The dataset supports large-scale LLM and VLM applications and complies with global data privacy and copyright regulations, including GDPR, CCPA, and PIPL.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Specifications

Data size

300 million images, each paired with a textual description. Complete image library (including photographic + vector images) totals nearly 300 million, Full dataset available for generative AI training (curated photographic + vector images excluding editorial/news images) comprises approximately 100 million.

Data formats

Image formats: .jpg, .png, .svg; Description format: .txt

Data content

Original copyrighted image works officially released by creators, accompanying descriptions authored by content creators.

Data types

Photographic images and vector illustrations, covers diverse scene categories.

Data resolution

4K and above

Description languages

Predominantly English (majority), Minimal Chinese portion.

Sample

Sample

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