AI-Generated Versus Real Image Dataset for Classification

A dataset hosted on Kaggle containing images labeled as either AI-generated or real. The specific number of images, creation date, and author are not provided in the available metadata. The dataset's primary purpose appears to be for training and evaluating models that distinguish between synthetic and authentic visual content.

Use Cases

• Train a binary classifier to distinguish AI-generated images from real photographs (inferred from domain, verify after download)
• Benchmark the performance of different neural network architectures on synthetic image detection (inferred from domain, verify after download)
• Analyze visual artifacts or features that differentiate generated images from real ones (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning tools.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column descriptions are unknown, which limits suitability assessment.
• Data may reflect bias inherent to the unspecified sources of the AI-generated and real images.

Provenance

Source

kaggle