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  ![PD12M](logo.png)
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  # Summary
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- **PD12M** dataset is a collection of about 12 million CC0/PD image-caption pairs for the purpose of training generative image models.
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  # About
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- Training a state-of-the-art generative image model typically requires vast amounts of images from across the internet. Training with images from across the web introduces several data quality issues: the presence of copyright material, low quality images and captions, violent or nsfw content, PII, decaying dataset quality via broken links, etc. Additionally, downloading from the original image hosts introduces an undue burden to those hosts, impacting services for legitimate users.
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- The PD12M dataset aims to resolve these issues through collecting only public domain and cc0 licensed images, automated recaptioning of image data, quality and safety filtering, and hosting the images in the dataset on dedicated cloud storage separate from the original image hosts. These innovations make PD12M the largest safe and reliable public image dataset available.
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- Built and curated with [Source.Plus](https://source.plus).
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  # Overview
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  This dataset has two components. The first is the `metadata`, which contains the image urls, captions, image dimensions, etc. The second component are the `images`.
 
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  ![PD12M](logo.png)
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  # Summary
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+ **PD12M** is a collection of 12 million CC0/PD image-caption pairs for the purpose of training generative image models.
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  # About
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+ PD12M was built and curated with [Source.Plus] (htts://source.plus) with the aim of resolving many of the data quality issues that arise in web-scraped training data: the presence of copyrighted material, low quality images and captions, violent or nsfw content, PII, decaying dataset quality via broken links, etc.
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+ PD12M consists of entirely public domain and CC0 licensed images, with automated recaptioning of image data, and quality and safety filtering. Images in PD12M are also hosted on dedicated cloud storage, separate from the original image hosts, to avoid placing an undue burden on those hosts or impacting services for regular users. This also ensures the dataset remains wholly intact over its lifetime.
 
 
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  # Overview
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  This dataset has two components. The first is the `metadata`, which contains the image urls, captions, image dimensions, etc. The second component are the `images`.