config.json

{
    "train_val_dataset_path": "Data/Variation_Synthetic_Generation_full_filtered_3_augmented/train/",
    "test_dataset_path": "Data/Variation_Synthetic_Generation_full_filtered_3_augmented/test/",
    "competition_test_dataset_path": "Data/ops_sat_test/",
    "Dataset Name": "The OPS-SAT case dataset",
    "Dataset Variation Description": "Synthetically generated data variation full and filtered augmented",
    "Transfer Learning":false,
    "Pre-Training":true,
    "Transfer Learning Dataset": "landuse",
    "wandb": {
        "project": "OPS-SAT-Thesis-Project",
        "config": {
            "dropout": 0.5,
            "num_classes": 8,
            "input_shape": [200, 200, 3],
            "output_layer_activation": "softmax",
            "model_optimizer": "adam",
            "loss_fun": "FocalLoss",
            "model_metrics": ["SparseCategoricalAccuracy"],
            "early_stopping_monitor": "val_sparse_categorical_accuracy",
            "early_stopping_patience": 3,
            "model_checkpoint_monitor": "val_sparse_categorical_accuracy",
            "cross_validation_k": 2,
            "model_epochs": 200,
            "model_batch_size": 8,
            "alpha_focal_loss": 0.5,
            "gamma_focal_loss": 2,
            "n_freeze_layers": 5
        }
    }

}