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--- |
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license: apache-2.0 |
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datasets: |
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- strangerguardhf/NSFW-MultiDomain-Classification-v2.0 |
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language: |
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- en |
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base_model: |
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- google/siglip2-base-patch16-512 |
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pipeline_tag: image-classification |
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library_name: transformers |
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tags: |
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- SigLIP2 |
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- art |
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- explicit-content-detection |
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- media-filter |
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- Anime |
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--- |
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# **siglip2-mini-explicit-content** |
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> **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. |
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> \[!Note] |
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> 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. |
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> [!note] |
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*SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features* https://arxiv.org/pdf/2502.14786 |
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> [!Important] |
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Note: Explicit, sensual, and pornographic content may appear in the results; however, all of them are considered not safe for work. |
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```py |
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Classification Report: |
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precision recall f1-score support |
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Anime Picture 0.8897 0.8296 0.8586 5600 |
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Extincing & Sensual 0.8984 0.9477 0.9224 5618 |
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Hentai 0.8993 0.9118 0.9055 5600 |
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Pornography 0.9527 0.9285 0.9404 5970 |
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Safe for Work 0.8957 0.9172 0.9063 6000 |
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accuracy 0.9074 28788 |
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macro avg 0.9072 0.9069 0.9066 28788 |
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weighted avg 0.9076 0.9074 0.9071 28788 |
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``` |
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--- |
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The model categorizes images into five classes: |
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* **Class 0:** Anime Picture |
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* **Class 1:** Extincing & Sensual |
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* **Class 2:** Hentai |
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* **Class 3:** Pornography |
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* **Class 4:** Safe for Work |
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--- |
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# **Run with Transformers** |
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```python |
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!pip install -q transformers torch pillow gradio |
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``` |
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```python |
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import gradio as gr |
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from transformers import AutoImageProcessor, SiglipForImageClassification |
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from transformers.image_utils import load_image |
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from PIL import Image |
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import torch |
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# Load model and processor |
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model_name = "prithivMLmods/siglip2-mini-explicit-content" |
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model = SiglipForImageClassification.from_pretrained(model_name) |
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processor = AutoImageProcessor.from_pretrained(model_name) |
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# Updated labels |
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labels = { |
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"0": "Anime Picture", |
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"1": "Extincing & Sensual", |
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"2": "Hentai", |
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"3": "Pornography", |
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"4": "Safe for Work" |
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} |
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def detect_explicit_content(image): |
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"""Predicts content category in an uploaded image.""" |
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image = Image.fromarray(image).convert("RGB") |
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inputs = processor(images=image, return_tensors="pt") |
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with torch.no_grad(): |
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outputs = model(**inputs) |
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logits = outputs.logits |
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probs = torch.nn.functional.softmax(logits, dim=1).squeeze().tolist() |
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predictions = {labels[str(i)]: round(probs[i], 3) for i in range(len(probs))} |
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return predictions |
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# Gradio Interface |
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iface = gr.Interface( |
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fn=detect_explicit_content, |
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inputs=gr.Image(type="numpy"), |
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outputs=gr.Label(label="Prediction Scores"), |
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title="siglip2-mini-explicit-content", |
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description="Upload an image to classify it as Anime, Hentai, Sensual, Pornographic, or Safe for Work." |
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) |
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if __name__ == "__main__": |
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iface.launch() |
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``` |
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--- |
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# **Guidelines for Use of siglip2-mini-explicit-content** |
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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: |
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### **Recommended Use Cases** |
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* Content Moderation in social media and forums |
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* Parental Controls for safer browsing environments |
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* Dataset Curation for removing NSFW images from training data |
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* Safe Search Filtering for engines and discovery systems |
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* Workplace Image Scanning for compliance |
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### **Prohibited or Discouraged Use** |
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* Harassment, exposure, or targeting of individuals |
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* Use on private content without consent |
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* Illegal or unethical surveillance |
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* Sole reliance for legal or reputational decisions |
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* Deceptive manipulation of moderation results |
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--- |
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# **Important Notes** |
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* Optimized for **anime and adult content detection**. Not suitable for detecting violence, drugs, or hate symbols. |
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* Probabilistic outputs — always **verify** with human review where needed. |
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* This model's predictions are **not legal classifications**. |
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--- |
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## Demo Inference |
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> [!warning] |
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Anime Picture |
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> [!warning] |
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Extincing & Sensual |
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> [!warning] |
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Hentai |
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> [!warning] |
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Pornography |
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> [!warning] |
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Safe for Work |
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--- |
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## **Ethical Reminder** |
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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. |
