Spaces:
Sleeping
Sleeping
Dyuti Dasmahapatra
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5826098
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Add HF Spaces YAML front-matter to README
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README.md
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# π― ViT Auditing Toolkit
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<div align="center">
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**A Comprehensive Explainability and Validation Dashboard for Vision Transformers**
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[π Live Demo](
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<img src="assets/dashboard.png" alt="Dashboard Preview" width="800"/>
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The **ViT Auditing Toolkit** is an advanced, interactive dashboard designed to help researchers, ML practitioners, and AI auditors understand, validate, and improve Vision Transformer (ViT) models. It provides a comprehensive suite of explainability techniques and auditing tools through an intuitive web interface.
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###
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This toolkit is designed as an **Explainable AI (XAI) and Human-Centered AI (HCAI) analysis tool** to help you:
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We encourage researchers and practitioners to use this toolkit as a **starting point** for deeper investigation into model behavior, complementing it with rigorous testing protocols and domain expertise.
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###
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- **π Transparency**: Understand what your ViT models actually "see" and learn
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- **β
Validation**: Verify model reliability through systematic testing
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Try the toolkit instantly on Hugging Face Spaces:
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### π [Launch Interactive Demo](https://huggingface.co/spaces/
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*No installation required! Upload an image and start exploring.*
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---
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##
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The project includes **20 curated test images** organized by analysis type:
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##
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<div align="center">
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##
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- **[QUICKSTART.md](QUICKSTART.md)** - Get started in 5 minutes
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- **[TESTING.md](TESTING.md)** - Comprehensive testing guide with 22 test cases
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---
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##
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This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details.
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# ---
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title: "ViT Auditing Toolkit"
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emoji: "π―"
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colorFrom: "indigo"
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colorTo: "cyan"
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sdk: gradio
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sdk_version: "4.19.0"
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app_file: app.py
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pinned: false
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---
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# π― ViT Auditing Toolkit
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<div align="center">
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**A Comprehensive Explainability and Validation Dashboard for Vision Transformers**
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[π Live Demo](#) | [π Documentation](#features) | [π‘ Examples](#usage-guide) | [π€ Contributing](#contributing)
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<img src="assets/dashboard.png" alt="Dashboard Preview" width="800"/>
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The **ViT Auditing Toolkit** is an advanced, interactive dashboard designed to help researchers, ML practitioners, and AI auditors understand, validate, and improve Vision Transformer (ViT) models. It provides a comprehensive suite of explainability techniques and auditing tools through an intuitive web interface.
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### οΏ½ Purpose & Scope
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This toolkit is designed as an **Explainable AI (XAI) and Human-Centered AI (HCAI) analysis tool** to help you:
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We encourage researchers and practitioners to use this toolkit as a **starting point** for deeper investigation into model behavior, complementing it with rigorous testing protocols and domain expertise.
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### οΏ½π Why This Toolkit?
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- **π Transparency**: Understand what your ViT models actually "see" and learn
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- **β
Validation**: Verify model reliability through systematic testing
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Try the toolkit instantly on Hugging Face Spaces:
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### π [Launch Interactive Demo](https://huggingface.co/spaces/YOUR-USERNAME/vit-auditing-toolkit)
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*No installation required! Upload an image and start exploring.*
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---
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## οΏ½οΈ Test Images Included
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The project includes **20 curated test images** organized by analysis type:
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---
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## οΏ½πΈ Screenshots
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<div align="center">
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---
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## οΏ½ Additional Resources
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- **[QUICKSTART.md](QUICKSTART.md)** - Get started in 5 minutes
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- **[TESTING.md](TESTING.md)** - Comprehensive testing guide with 22 test cases
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---
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## οΏ½π License
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This project is licensed under the **MIT License** - see the [LICENSE](LICENSE) file for details.
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