Coxy7/X-AIGD
X-AIGD X-AIGD is a fine-grained benchmark designed for eXplainable AI-Generated image Detection. It provides pixel-level human annotations of perceptual artifacts in AI-generated images, spanning low-level distortions, high-level semantics, and cognitive-level counterfactuals, aiming to advance robust and explainable AI-generated image detection methods. For more details, please refer to our paper: Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for… See the full description on the dataset page: https://huggingface.co/datasets/Coxy7/X-AIGD.
| Author / organization | Coxy7 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 650 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 8 February 2026 |
| Last updated at source | 16 March 2026 |
Recent changes
- 16 Oct 2026 Description: X-AIGD X-AIGD is a fine-grained benchmark designed for eXplainable AI-Generated image Detection. It provides pixel-level human annotations of perceptual artifacts in AI-generated images, spanning low-level distortions, high-level semantics, → X-AIGD X-AIGD is a fine-grained benchmark designed for eXplainable AI-Generated image Detection. It provides pixel-level human annotations of perceptual artifacts in AI-generated images, spanning low-level distortions, high-level semantics,
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