NSFW_MultiDomain

The NSFW_MultiDomain dataset is a curated image classification dataset focused on multi-domain adult content recognition. It consists of 5 distinct categories aimed at facilitating the development of robust NSFW (Not Safe For Work) image classification models. This dataset enables training and benchmarking of models that can distinguish between subtle variations in explicit and non-explicit content across artistic, animated, and real-world imagery.

Classes

The dataset includes the following classification labels:

Class 0: Anime Picture
Class 1: Hentai
Class 2: Normal (Safe-for-Work content)
Class 3: Pornography
Class 4: Enticing or Sensual (suggestive but not explicit)

These categories were selected to improve performance in nuanced adult content detection and to enable precise moderation across platforms with varied content policies.

Trained Models on This Dataset

Several models have been trained using the NSFW_MultiDomain dataset:

These models are fine-tuned on various architectures including SigLIP variants and custom classifiers for NSFW detection.

Dataset Structure

Format: Image files with associated classification labels
Domains: Anime, hentai, photography, illustrations, and mixed content
Number of classes: 5
Primary task: Multiclass image classification

Intended Use

The dataset is intended for research and deployment in:

Content moderation tools
Adult content filtering systems
Safety-aware generative models
Multimodal models involving vision and language

Note: This dataset contains sexually explicit material and should only be used in appropriate, legally compliant settings with appropriate safeguards.

Dataset Access

Dataset repository: https://huggingface.co/datasets/strangerguardhf/NSFW_MultiDomain

To load the dataset using the 🤗 Datasets library:

from datasets import load_dataset

dataset = load_dataset("strangerguardhf/NSFW-MultiDomain-Classification")

Licensing and Limitations

License: Refer to the dataset page for explicit license details.
Usage Warning: This dataset is only appropriate for users and institutions that are legally permitted and ethically equipped to handle NSFW data.
Bias & Fairness: Like many NSFW datasets, there may be cultural or demographic

Datasets:

strangerguardhf
/

NSFW-MultiDomain-Classification

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