Chaos2629/Diffseg30k

🖼️ DiffSeg30k -- A multi-turn diffusion-editing dataset for localized AIGC detection A dataset for segmenting diffusion-based edits — ideal for training and evaluating models that localize edited regions and identify the underlying diffusion model, as presented in the paper DiffSeg30k: A Multi-Turn Diffusion Editing Benchmark for Localized AIGC Detection. 📁 Dataset Usage xxxxxxxx.image.png: Edited images. Each image may have undergone 1, 2, or 3 editing… See the full description on the dataset page: https://huggingface.co/datasets/Chaos2629/Diffseg30k.

<iframe src="https://silytics.si/embed/item/85c2eaa4-06a3-4c73-9fbe-e9fe69f2f837" 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 Information may be incomplete or out of date.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 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.