--- license: mit metrics: - accuracy library_name: keras --- # Pottery Classification Model ## Model Description - **Task**: Multiclass Ceramic Pottery Classification - **Architecture**: Multilayer Perceptron (MLP) - **Input Features**: 95 archaeological ceramic features - **Output Classes**: 9 distinct pottery types ## Model Details - **Performance**: 99.31% Test Accuracy - **Test Loss**: 0.0376 - **Training Epochs**: 500 - **Batch Size**: 256 ## Dataset **Name**: Ceramics: Temporal-Spatial Dataset **Year**: 1988 **Source**: Digital Archaeological Record (tDAR) **Identifier**: - tDAR ID: 6039 - DOI: 10.6067/XCV8TD9WNB **Description**: Archaeological ceramic dataset containing 95 features across 9 distinct pottery types, collected to analyze spatial and temporal characteristics of ceramic artifacts. **Features**: - Total features: 95 after encoding - Feature selection process: Detailed in companion [EDA Notebook](https://github.com/samanthajmichael/deep_learning/blob/main/deep_learning/Assignments/pottery_classifier/notebooks/01_EDA.ipynb) | Feature | Description | |---------|-------------| | firing | Firing atmosphere | | temper | Type of temper used | | manipul | Surface manipulation | | compact | Surface compaction | | color | Paint colors used | | pnttype | Paint type (organic, mineral, clay) | | cover | Surface slips/coatings | | ware | Manufacturing technique groups | | form | Vessel shape/type | |culcat|Cultural Category| **Classes**: 9 pottery types ## Training Methodology - **Optimizer**: Adam - **Learning Rate**: Initial 0.01 with exponential decay - **Regularization**: - He Weight Initialization - L2 Regularization - Early Stopping ## Intended Use - Archaeological ceramic type classification - Research in archaeological artifact analysis - Pottery provenance studies ## Limitations - Trained on a specific archaeological dataset - Performance may vary with different ceramic collections - Requires careful preprocessing of input features ## Citation If you use this model, please cite: samanthajmichael/2025 ## License MIT