# 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.

task_categories:image-classification task_categories:image-segmentation size_categories:100K<n<1M language:en license:gpl AI Artificial intelligence real fake ai generated generative ai region:us
{"language": ["en"], "license": "gpl", "size_categories": ["100K<n<1M"], "task_categories": ["image-classification", "image-segmentation"], "pretty_name": "realifake", "tags": ["AI", "Artificial intelligence", "real", "fake", "ai generated", "generative ai"]}
TAGS
#task_categories-image-classification #task_categories-image-segmentation #size_categories-100K<n<1M #language-English #license-gpl #AI #Artificial intelligence #real #fake #ai generated #generative ai #region-us 

# 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.

# 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.
TAGS
#task_categories-image-classification #task_categories-image-segmentation #size_categories-100K<n<1M #language-English #license-gpl #AI #Artificial intelligence #real #fake #ai generated #generative ai #region-us 
 # 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.
passage: TAGS
#task_categories-image-classification #task_categories-image-segmentation #size_categories-100K<n<1M #language-English #license-gpl #AI #Artificial intelligence #real #fake #ai generated #generative ai #region-us 
# 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.