Jasper AI

Dataset · Text to image

monet

Jasper AI

MONET (Massive, Open, Non-redundant and Enriched Text-to-image dataset) is a large-scale, curated image-text dataset designed for training text-to-image (T2I) systems. It contains 103.8 million high-quality image-text pairs distilled from 2.9 billion raw pairs across nine heterogeneous open sources (6 real and 3 synthetic) through successive stages of safety filtering, domain-based filtering, exact and near-duplicate removal, and re-captioning with multiple vision-language models, and is further augmented with synthetically generated samples. Each image is released with pre-computed embeddings, structured annotations and pre-encoded VAE latents to accelerate downstream use. A 4B-parameter…