Dataset · Hugging Face

WenhaoWang/D-Rep

Name: D-Rep
Creator: WenhaoWang
License: cc-by-nc-4.0
Keywords: task_categories:text-to-image, task_categories:image-feature-extraction, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2409.19952, region:us, diffusion models

Summary This is the dataset proposed in our paper Image Copy Detection for Diffusion Models (NeurIPS 2024). D-Rep consists of 40, 000 image-replica pairs, in which each replica is generated by a diffusion model. The 40, 000 image-replica pairs are manually labeled with 6 replication levels ranging from 0 (no replication) to 5 (total replication). We divide D-Rep into a training set with 90% (36, 000) pairs and a test set with the remaining 10% (4, 000) pairs.… See the full description on the dataset page: https://huggingface.co/datasets/WenhaoWang/D-Rep.

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Author / organization	WenhaoWang
License (as declared)	cc-by-nc-4.0
Downloads	648 (as reported by Hugging Face)
Likes	3
Created	29 September 2024
Last updated at source	1 October 2024

diffusion modelsimage copy detection

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