Animedl 2M: Million-Scale AI-Generated Anime Image Detection Dataset

A collection of publicly available images from the internet intended for academic research. The dataset, named AnimeDL-2M, was created by FlyTweety and is associated with a paper accepted by the ACM MM 25 DFF Workshop. It was last updated on May 24, 2026.

Use Cases

• Training AI-generated image detection models based on the described collection of real and AI-generated anime images.
• Benchmarking localization algorithms for AI-generated content using the dataset's described focus on detection and localization.
• Studying the characteristics of diffusion-era AI-generated anime art as implied by the dataset's title and description.

Strengths

• Dataset is associated with a peer-reviewed paper accepted for an oral presentation at the ACM MM 25 DFF Workshop.
• The title suggests a scale of approximately 2 million images, which is a large collection for this domain.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

FlyTweety

Collection Method

Likely gathered from publicly available images on the internet, as stated in the disclaimer.

Freshness

Last updated 2026-05-24 16:30:25; freshness should be verified.