siglip2-mini-explicit-content is an image classification vision-language encoder model fine-tuned from siglip2-base-patch16-512 for a single-label classification task. It is designed to classify images into categories related to explicit, sensual, or safe-for-work content using the SiglipForImageClassification architecture.

[!Note] This model is intended to promote positive, safe, and respectful digital environments. Misuse is strongly discouraged and may violate platform or regional guidelines. As a classification model, it does not generate unsafe content and is suitable for moderation purposes.

[!note] SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786

[!Important] Note: Explicit, sensual, and pornographic content may appear in the results; however, all of them are considered not safe for work.

Classification Report:
                     precision    recall  f1-score   support

      Anime Picture     0.8897    0.8296    0.8586      5600
Extincing & Sensual     0.8984    0.9477    0.9224      5618
             Hentai     0.8993    0.9118    0.9055      5600
        Pornography     0.9527    0.9285    0.9404      5970
      Safe for Work     0.8957    0.9172    0.9063      6000

           accuracy                         0.9074     28788
          macro avg     0.9072    0.9069    0.9066     28788
       weighted avg     0.9076    0.9074    0.9071     28788

The model categorizes images into five classes:

Class 0: Anime Picture
Class 1: Extincing & Sensual
Class 2: Hentai
Class 3: Pornography
Class 4: Safe for Work

Run with Transformers

!pip install -q transformers torch pillow gradio

python

import gradio as gr
from transformers import AutoImageProcessor, SiglipForImageClassification
from transformers.image_utils import load_image
from PIL import Image
import torch

# Load model and processor
model_name = "prithivMLmods/siglip2-mini-explicit-content"
model = SiglipForImageClassification.from_pretrained(model_name)
processor = AutoImageProcessor.from_pretrained(model_name)

# Updated labels
labels = {
    "0": "Anime Picture",
    "1": "Extincing & Sensual",
    "2": "Hentai",
    "3": "Pornography",
    "4": "Safe for Work"
}

def detect_explicit_content(image):
    """Predicts content category in an uploaded image."""
    image = Image.fromarray(image).convert("RGB")
    inputs = processor(images=image, return_tensors="pt")

    with torch.no_grad():
        outputs = model(**inputs)
        logits = outputs.logits
        probs = torch.nn.functional.softmax(logits, dim=1).squeeze().tolist()

    predictions = {labels[str(i)]: round(probs[i], 3) for i in range(len(probs))}
    return predictions

# Gradio Interface
iface = gr.Interface(
    fn=detect_explicit_content,
    inputs=gr.Image(type="numpy"),
    outputs=gr.Label(label="Prediction Scores"),
    title="siglip2-mini-explicit-content",
    description="Upload an image to classify it as Anime, Hentai, Sensual, Pornographic, or Safe for Work."
)

if __name__ == "__main__":
    iface.launch()

Guidelines for Use of siglip2-mini-explicit-content

This model is designed for responsible content moderation and filtering. It is especially tuned for anime, hentai, and adult content. Use it ethically, with the following guidelines:

Recommended Use Cases

Content Moderation in social media and forums
Parental Controls for safer browsing environments
Dataset Curation for removing NSFW images from training data
Safe Search Filtering for engines and discovery systems
Workplace Image Scanning for compliance

Prohibited or Discouraged Use

Harassment, exposure, or targeting of individuals
Use on private content without consent
Illegal or unethical surveillance
Sole reliance for legal or reputational decisions
Deceptive manipulation of moderation results

Important Notes

Optimized for anime and adult content detection. Not suitable for detecting violence, drugs, or hate symbols.
Probabilistic outputs — always verify with human review where needed.
This model's predictions are not legal classifications.

Demo Inference

[!warning] Anime Picture

Screenshot 2025-05-19 at 21-47-04 siglip2-mini-explicit-content.png

[!warning] Extincing & Sensual

Screenshot 2025-05-19 at 21-57-52 siglip2-mini-explicit-content(1).png

Screenshot 2025-05-19 at 22-00-30 siglip2-mini-explicit-content(1).png

[!warning] Hentai

Screenshot 2025-05-19 at 21-48-48 siglip2-mini-explicit-content(1).png

[!warning] Pornography

Screenshot 2025-05-19 at 22-07-04 siglip2-mini-explicit-content(1).png

[!warning] Safe for Work

Screenshot 2025-05-19 at 22-01-45 siglip2-mini-explicit-content.png

Ethical Reminder

This tool was created to enhance digital safety. Do not use it to harm, surveil, or exploit individuals or communities. By using this model, you commit to ethical and privacy-respecting practices.