| # Tomato Disease Classification Model | |
| ## Model Description | |
| This is a PyTorch model trained to classify tomato diseases with 3 classes accuracy. The model is specifically designed for agricultural applications in tomato disease detection and management. | |
| ## Model Files | |
| - `best_model_3class.pth`: Pre-trained PyTorch model weights | |
| ## Usage | |
| ```python | |
| import torch | |
| # Load the model | |
| model = torch.load('best_model_3class.pth') | |
| model.eval() | |
| # Use the model for inference | |
| # Add your inference code here | |
| ``` | |
| ## Model Architecture | |
| - 3-class classification model | |
| - PyTorch framework | |
| - Optimized for tomato disease detection | |
| ## Training Data | |
| The model was trained on tomato disease images for classification tasks related to plant pathology research. | |
| ## Citation | |
| If you use this model, please cite appropriately in your research. | |
| ## License | |
| Please respect the terms of use for this model. | |