Fake and Real Image Dataset for Classification and Detection

A collection of images labeled as 'fake' or 'real', likely intended for training and evaluating computer vision models. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, their source, creation method, and update history are not provided in the available metadata.

Use Cases

• Train a binary classifier to distinguish between real and synthetic images (inferred from domain, verify after download)
• Benchmark deepfake detection algorithms (inferred from domain, verify after download)
• Study visual artifacts and features that differentiate fake from real media (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for sharing ML datasets.
• Platform tags indicate a clear focus on computer vision applications.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, limiting suitability assessment.
• License, author, and last updated information are unavailable.

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown; freshness unverified.

Geography

Spatial coverage is unknown.