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@@ -19,7 +19,7 @@ metrics:
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  - accuracy
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  - mae
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  model-index:
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- - name: ViT-Age-Gender-Elite
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  results:
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  - task:
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  type: image-classification
@@ -36,7 +36,7 @@ model-index:
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  name: Age MAE (years)
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  ---
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- # πŸ† ViT-Age-Gender-Elite: Vision Transformer for Facial Analysis
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  **βœ… MODEL WEIGHTS NOW AVAILABLE** - Trained model weights uploaded and ready for use!
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@@ -171,12 +171,12 @@ The UTKFace dataset has a **specific age distribution**:
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  ## πŸ”¬ **Research & Citation**
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  ```bibtex
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- @misc{vit-age-gender-elite-2025,
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- title={ViT-Age-Gender-Elite: Vision Transformer for Facial Analysis},
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  author={Abhilash Sahoo},
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  year={2025},
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  publisher={Hugging Face},
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- url={https://huggingface.co/abhilash88/ViT-Age-Gender-Elite}
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  }
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  ```
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  - accuracy
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  - mae
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  model-index:
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+ - name: Age Gender Prediction
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  results:
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  - task:
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  type: image-classification
 
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  name: Age MAE (years)
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  ---
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+ # πŸ† ViT-Age-Gender-Prediction: Vision Transformer for Facial Analysis
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  **βœ… MODEL WEIGHTS NOW AVAILABLE** - Trained model weights uploaded and ready for use!
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  ## πŸ”¬ **Research & Citation**
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  ```bibtex
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+ @misc{age-gender-prediction-2025,
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+ title={Age-Gender-Prediction: Vision Transformer for Facial Analysis},
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  author={Abhilash Sahoo},
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  year={2025},
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  publisher={Hugging Face},
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+ url={https://huggingface.co/abhilash88/age-gender-prediction}
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  }
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  ```
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