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README.md
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# **Sample Inference**
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| Screenshot 1 | Screenshot 2 | Screenshot 3 |
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Absolutely! Here's a professional and responsible **Guidelines for Use** section tailored to your **Mature-Content-Detection** model. You can include this in your model card, documentation, or Hugging Face space:
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## 🔒 **Guidelines for Use – Mature-Content-Detection**
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The **Mature-Content-Detection** model is a computer vision classifier designed to detect and categorize adult-themed and anime-based content. It supports responsible content moderation and filtering across digital platforms. To ensure the ethical and intended use of the model, please follow the guidelines below:
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### ✅ **Recommended Use Cases**
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- **Content Moderation:** Automatically filter explicit or suggestive content in online communities, forums, or media-sharing platforms.
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- **Parental Controls:** Enable content-safe environments for children by flagging inappropriate images.
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- **Dataset Curation:** Clean and label image datasets for safe and compliant ML training.
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- **Digital Wellbeing:** Assist in building safer AI and web experiences by identifying sensitive media content.
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- **Search Engine Filtering:** Improve content relevance and safety in image-based search results.
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# **Prohibited / Discouraged Use**
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- **Malicious Intent:** Do not use the model to harass, shame, expose, or target individuals or communities.
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- **Invasion of Privacy:** Avoid deploying the model on private or sensitive user data without proper consent.
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- **Illegal Activities:** Never use the model for generating, distributing, or flagging illegal content.
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- **Bias Amplification:** Do not rely solely on this model to make sensitive moderation decisions. Always include human oversight, especially where reputational or legal consequences are involved.
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- **Manipulation or Misrepresentation:** Avoid using this model to manipulate or misrepresent content classification in unethical ways.
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# **Important Notes**
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- This model works best on **anime and adult content** images. It is **not designed for general images** or unrelated categories (e.g., child, violence, hate symbols, drugs).
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- The output of the model is **probabilistic**, not definitive. Consider it a **screening tool**, not a sole decision-maker.
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- The labels reflect the model's best interpretation of visual signals — not moral or legal judgments.
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- Always **review flagged content manually** in high-stakes applications.
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## **Ethical Reminder**
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This model was built to **help** create safer digital ecosystems. **Do not misuse it** for exploitation, surveillance without consent, or personal gain at the expense of others. By using this model, you agree to act responsibly and ethically, keeping safety and privacy a top priority.
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# **Sample Inference**
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| Screenshot 1 | Screenshot 2 | Screenshot 3 |
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