FakeClue is a large-scale, multimodal dataset designed to aid in synthetic image detection and artifact explanation. It consists of over 100,000 images across many categories. Each image is paired with fine-grained artifact annotations in natural language, detailing the synthetic elements present within the image. The dataset includes images from open-source datasets like GenImage, FF++, and Chameleon, as well as specialized synthetic data generated for remote… See the full description on the dataset page:
https://huggingface.co/datasets/lingcco/FakeClue.
