A newer version of the Streamlit SDK is available: 1.56.0
title: STAR
emoji: 😻
colorFrom: red
colorTo: indigo
sdk: streamlit
sdk_version: 1.43.2
app_file: app.py
pinned: false
license: mit
short_description: Secure Transformer-based Adult-content Recognition
⭐ STAR - Secure Transformer-based Adult-content Recognition
STAR (Secure Transformer-based Adult-content Recognition) is an advanced AI model designed for multi-label classification of adult content using deep learning techniques. Built on a Swin Transformer backbone, STAR aims to provide secure and explainable detection of explicit content while ensuring ethical AI deployment.
🚀 Features
- Multi-label Classification: Detects and categorizes adult content into multiple subcategories.
- Explainable AI (XAI): Integrates Class Activation Mapping (CAM) for visual interpretability.
- Secure & Ethical: Designed with responsible AI principles to prevent misuse.
- Transformer-based Architecture: Utilizes Swin Transformer for high accuracy in image classification.
📌 Content Classification
The model categorizes images into the following main categories, each with its respective subcategories (tags):
| Main Category | Subcategories (Tags) |
|---|---|
| Adult | in_bikini, bra_exposed, panty_exposed, breast_exposed, vagina_exposed, butt_exposed, penis_exposed |
| Real Nude | celebrity_nude, celebrity_movie, boudior, cp_nude |
| Fake Nude | celebrity_fake, cp_fake, revenge_porn, loan_app_defamation |
| Pornographic | masturbating, kissing, intercourse, oral, professional_porn, leaked_videos, amateur_porn |
| Artistic | painting, statue, digital_art, ai_gen |
🛠️ Model Architecture
STAR is powered by Swin Transformer, a hierarchical vision transformer model known for its efficiency and scalability in image classification. The model processes images with pretrained weights, fine-tuned for explicit content recognition.
🏆 Ethical AI Commitment
🔹 STAR is designed for ethical AI research and secure content moderation.
🔹 The model is not intended for censorship or privacy violations.
🔹 Users must ensure compliance with local regulations when deploying this model.
📜 License
This project is open-source and provided under the MIT License. Please use responsibly.
✉️ Contact
For inquiries or collaborations, reach out to Ramaguru Radhakrishnan.
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference