Ghibli Style AI Image Analysis Dataset

Columns

• image_id: A unique identifier for each generated image. (String)
• user_id: An anonymised unique identifier for the user who generated the image. (String)
• prompt: The text prompt utilised to generate the image. (String)
• likes: The number of likes the image garnered on social media. (Integer, Count)
• shares: The total number of times the image was shared across various platforms. (Integer, Count)
• comments: The number of comments the image received. (Integer, Count)
• platform: The specific social media platform where the image was shared (e.g., Instagram, Twitter). (String)
• generation_time: The duration taken to generate the image. (Float, Seconds)
• gpu_usage: The estimated GPU consumption during image generation. (Integer, Percentage (%))
• file_size_kb: The size of the generated image file. (Integer, Kilobytes (KB))
• resolution: The image resolution (e.g., 1024x1024, 2048x2048). (String, Pixels (width x height))
• style_accuracy_score: A score indicating how closely the image resembles a Studio Ghibli animation, assessed by models or user votes. (Integer, Scale (0-100))
• is_hand_edited: Denotes whether the user performed manual edits after generation (Yes/No). (String)
• ethical_concerns_flag: Indicates if the image was flagged due to ethical concerns, such as copyright issues (Yes/No). (String)
• creation_date: The date when the image was created. (String, YYYY-MM-DD)
• top_comment: The most popular or upvoted comment associated with the image. (String)

Distribution

Usage

• Trend Analysis: Identify top-performing AI-generated Ghibli-style prompts based on likes, shares, and comments, and spot seasonal variations in AI art trends.
• AI Performance Benchmarking: Evaluate how factors like GPU usage, generation time, and resolution influence AI-generated image quality, and compare different AI models using engagement metrics.
• Social Media Impact: Gain insights into which platforms drive the most engagement for AI-generated content and explore the relationship between prompt creativity and user interactions.
• Ethical and Copyright Considerations: Detect patterns in flagged images to assess ethical concerns related to AI-generated art and determine if hand-edited images receive greater engagement than purely AI-generated ones.
• Image Aesthetic & AI Creativity: Examine how different prompts affect the style accuracy score and understand how resolution and file size influence the perception of AI-generated art.

Coverage

License

Who Can Use It

• Researchers in AI art
• Social media analysts
• Machine learning engineers seeking to understand the reception and performance of AI-generated images across various platforms.

Dataset Name Suggestions

• AI Ghibli Art Trends 2025
• Synthetic Ghibli Image Engagement Data
• AI Art Performance Metrics (Ghibli Style)
• Social Media AI Art Impact Analysis
• Ghibli Style AI Image Analysis Dataset

Attributes