A curated image classification dataset for adult content recognition across five distinct categories. It facilitates training models to distinguish explicit and non-explicit content in artistic, animated, and real-world imagery. The dataset was created by strangerguardhf and was last updated in May 2025.
Use Cases
- Train a multi-class image classifier using the five distinct NSFW category labels.
- Benchmark model robustness on subtle variations between explicit and non-explicit content across different imagery domains.
- Develop content moderation filters for artistic, animated, and real-world image types.
Strengths
- Focuses on multi-domain classification across five distinct content categories.
- Designed for training models on subtle variations in explicit and non-explicit imagery.
- Updated recently in May 2025.
Limitations
- Dataset size, row count, and specific image counts are unknown.
- Sample data and column structure are unavailable for inspection.
- Potential class imbalance or label noise is not described.
Provenance
- Source
- huggingface
- Collection Method
- null
- Time Range
- null
- Freshness
- Last updated 2025-05-13.
- Geography
- null