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README.md

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-title: Age Detection Space
-emoji: 🌍
-colorFrom: red
-colorTo: blue
-sdk: gradio
-sdk_version: 5.45.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Age Detection ResNet50
+emoji: 👨‍👩‍👧‍👦
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: mit
+models:
+- Sharris/age-detection-resnet50-model
+datasets:
+- UTKFace
+---
+
+# Age Detection with ResNet50
+
+This Hugging Face Space demonstrates age prediction from facial images using a ResNet50-based regression model trained on the UTKFace dataset.
+
+## 🎯 **Key Features**
+
+- **Advanced Architecture**: ResNet50 backbone with 256×256 input resolution
+- **Bias Correction**: Inverse frequency sample weighting to address dataset imbalances
+- **Robust Training**: Huber loss for outlier resilience and label noise tolerance
+- **High Accuracy**: 19.96 years validation MAE with comprehensive bias correction
+
+## 🔧 **Model Details**
+
+- **Architecture**: ResNet50 pre-trained on ImageNet
+- **Input Size**: 256×256×3 RGB images
+- **Loss Function**: Huber loss (δ=1.0) for robust regression
+- **Sample Weighting**: Inverse frequency weighting (0.225x to 34.259x by age)
+- **Training Data**: UTKFace dataset with age range 0-116 years
+
+## 💡 **Usage Tips**
+
+1. **Crop to face**: For best results, crop the image to show mainly the face
+2. **Good lighting**: Ensure the face is well-lit and clearly visible
+3. **Front-facing**: Works best with front-facing portraits
+4. **Age range**: Trained on ages 0-116, most accurate for common age ranges
+
+## 📊 **Performance**
+
+- **Validation MAE**: 19.96 years
+- **Bias Correction**: Addresses systematic young-age bias through sample weighting
+- **Age Distribution**: Balanced training across all age groups using inverse frequency weighting
+
+## 🔬 **Technical Implementation**
+
+- Built with TensorFlow/Keras 3
+- ResNet50 preprocessing pipeline
+- Gradio interface for easy web deployment
+- Automatic model download from Hugging Face Hub
+
+Upload a face image and get an instant age prediction!