NSFW Image Classification Dataset for Artistic Content

This dataset provides images for training Not Safe For Work detection models, focusing on artistic content. It is organized into five distinct classes representing different levels of appropriateness. The dataset was created by author deepghs and was last updated in November 2025.

Use Cases

• Train a multi-class image classifier to predict one of the five NSFW appropriateness levels for artistic content.
• Fine-tune a vision model using the five distinct class labels to build a content moderation system.
• Benchmark NSFW detection performance on artistic images using the established five-class categorization format.

Strengths

• Contains images organized into five distinct NSFW classification categories.
• Follows an established categorization format from popular NSFW detection implementations.
• Last updated in November 2025, indicating recent maintenance.

Limitations

• The exact number of images, file formats, and dataset size are unknown.
• Potential geographic bias as the dataset is tagged with the 'us' region.
• Class distribution and balance among the five categories are unspecified.

Provenance

Source

deepghs on Hugging Face

Collection Method

null

Time Range

null

Freshness

Last updated 2025-11-17.

Geography

Tagged with 'us' region.