ductai199x/open-set-synth-img-attribution

This dataset contains synthetic images generated by different architectures trained on different datasets. There are two types of labels: architecture and generator. The architecture labels are the architectures of the generators used to synthesize the images. The generator labels are a tuple of (architecture, training_dataset) used to synthesize the images. The dataset is split into train, validation, and test sets. For more information, see the [BMVC 2023 paper](https://papers.bmvc2023.org/0659.pdf).

<iframe src="https://silytics.si/embed/item/0920e542-06f9-4dc7-b761-b56a0b6fcc4f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.