datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OmniFake
OmniFake
OmniFake is a large-scale, well-categorized synthetic image dataset introduced in Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples. It contains 1.17 million AI-generated images from 45 distinct generators, paired with 1.17 million real images, designed for research on AI-generated image (AIGI) detection and source attribution.
For usage instructions and experimental protocols, please refer to the OmniDFA GitHub repository.… See the full description on the dataset page: https://huggingface.co/datasets/MoeNew/OmniFake.artist-style-benchmark
Artist Style Benchmark
A benchmark dataset of 34903 anime-style illustrations generated with
AnimaImagine, each using a
different Danbooru artist tag at fixed prompt/seed settings.
ASR Ranker Style Browser
This dataset also serves as the image host for
ASR Ranker, an interactive browser for comparing and
ranking artist styles.
Browser: https://ranker.kuronet.top/browser
Dataset: https://huggingface.co/datasets/Moeblack/artist-style-benchmark
选出最 hot 的画风吧。
总榜只有 trusted… See the full description on the dataset page: https://huggingface.co/datasets/Moeblack/artist-style-benchmark.