WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its size ...

LAION-COCO is the world's largest dataset of 600M generated high-quality captions for publicly available web-images. The images are extracted from the english ...

WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages.

WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages.

TextOCR provides ~1M high quality word annotations on TextVQA images.

Top 13 Text to Image Dataset for Synthesis Models · 1. MS-COCO · 2. LAION-5B · 3. Conceptual Images 12m · 4. Filtered YFCC100m · 5. Imagenet · 6. Multi-Modal- ...

18 апр. 2024 г. · The Image-Text Pairs Dataset consists of over 300 million pairs, spanning a wide range of high-quality and professional photos of people, ...

11 июл. 2024 г. · FaceCaption-15M comprises over 15 million pairs of facial images and their corresponding natural language descriptions of facial features.

6 дек. 2022 г. · WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages.

COYO-700M is a large-scale dataset that contains 747M image-text pairs as well as many other meta-attributes to increase the usability to train various ... README.md · LICENSE.cc-by-4.0 · Issues 10 · Pull requests