AI-generated Images Vs. Real Images

The dataset is a collection of images from two different sources: web scraping and AI-generated content. The content covers multiple subjects: people, animals, portraits, and landscapes.

Projects and Applications:

• Image Classification and Recognition: Researchers and developers can use this dataset to train machine learning models for image classification and recognition tasks. By combining web-scraped and AI-generated images, models can learn to recognize and classify objects, scenes, and concepts across domains with greater accuracy and generalization.

• Artistic Exploration and Creative Synthesis: Artists, designers, and creative enthusiasts can draw inspiration from the dataset and explore new avenues of artistic expression and experimentation. They can use AI-generated images as a canvas to reinterpret art, blending traditional techniques with computational aesthetics to create fascinating artworks and multimedia installations.

• Data visualization and exploratory analysis: Data scientists and researchers can analyze data sets to reveal insights into visual trends, patterns, and correlations.