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Sattyam/Realifake

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Hugging Face2023-08-07 更新2024-03-04 收录
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资源简介:
--- license: gpl task_categories: - image-classification - image-segmentation language: - en tags: - AI - Artificial intelligence - real - fake - ai generated - generative ai pretty_name: realifake size_categories: - 100K<n<1M --- # Dataset Card for Dataset Name ### Dataset Summary Realifake is a groundbreaking dataset that blurs the boundaries between reality and AI-generated creativity. It comprises 100,000 genuine images (REAL) and an equally impressive collection of AI-generated counterparts (FAKE). This unique dataset aims to explore the convergence of human ingenuity and AI's imaginative potential. ## Dataset Creation ### Curation Rationale The Realifake dataset was meticulously curated to showcase the coexistence of real-world imagery and AI-generated content. It aims to facilitate research and exploration in AI creativity while fostering collaboration between diverse communities. ### Source Data #### Initial Data Collection and Normalization The dataset consists of two main categories: REAL, containing genuine images sourced from various public domain repositories, and FAKE, generated using state-of-the-art AI models. ## Considerations for Using the Data ### Social Impact of Dataset Realifake presents a valuable opportunity for advancing AI research and promoting creativity. However, researchers should be mindful of potential biases in AI-generated images and the social impact of using such technology. ## Additional Information ### Dataset Curators The Realifake dataset was curated by Sattyam jain and a team of passionate researchers and enthusiasts.
提供机构:
Sattyam
原始信息汇总

数据集概述

数据集名称

Realifake

数据集描述

Realifake是一个独特的数据集,包含100,000张真实图像(REAL)和同等数量的AI生成图像(FAKE)。该数据集旨在探索人类创造力与AI想象力的融合。

数据集用途

  • 图像分类
  • 图像分割

数据集内容

  • REAL类别:包含从公共领域资源库收集的真实图像。
  • FAKE类别:使用先进的AI模型生成的图像。

数据集规模

  • 数据集大小:100,000张图像
  • 数据集类别:REAL和FAKE各50,000张

数据集创建

  • 采集理由:展示真实世界图像与AI生成内容的共存,促进AI研究与创意发展。
  • 数据来源:REAL图像来源于公共领域资源,FAKE图像通过AI模型生成。

使用注意事项

  • 研究人员应关注AI生成图像中可能存在的偏见及其社会影响。

数据集管理者

  • 数据集由Sattyam jain及其团队精心策划。
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