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--- |
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license: cc0-1.0 |
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task_categories: |
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- text-to-image |
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language: |
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- en |
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--- |
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### Microcosmos Dataset |
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This dataset consists of a carefully curated collection of Creative Commons (CC0) images or similar, combined with both synthetic and human-generated captions. It was assembled to facilitate the training of diffusion models with a focus on efficiency and ethical data practices. The dataset was compiled over several months, highlighting the dedication to responsible data collection and management. |
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Dataset Details |
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Dataset Description |
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Microcosmos is designed to train high-performance diffusion models using a smaller, yet diverse, dataset. It includes high-resolution 768x768 images sourced from various Creative Commons platforms. These images are complemented by a mix of synthetic and human-generated captions, providing a robust foundation for generating and evaluating images. |
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### Data Sources and License |
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The images in this dataset have been sourced from the following platforms: |
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Pexels: pexels.com |
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Unsplash: unsplash.com |
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opengameart.org: opengameart.org |
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Met Museum Open Access: metmuseum.org |
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KissCC0: kisscc0.com |
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LIBRESHOT libreshot.com |
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Although the dataset consists of CC0 and other permissive content, in respect of individual site policies and creators' preferences, only images that explicitly allow redistribution will be published. The remaining images will be indexed but not redistributed. |
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https://unsplash.com/data/lite/latest |
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### Dataset Structure |
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The dataset is organized into multiple subsets, each containing images categorized by a theme. The dataset's structure ensures efficient training of diffusion models while maintaining a balance between image diversity and dataset size. |
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This organization helped in the process of mixed captions. |
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NLP: English (en) |
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