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{
"model_name": "CustomUNet",
"description": "A custom U-Net model for semantic segmentation using TensorFlow/Keras.",
"input_shape": [512, 512, 3], // Input shape of the images
"num_classes": 11, // Number of output classes
"architecture": {
"encoder": {
"type": "custom",
"blocks": [
{"filters": 64},
{"filters": 128},
{"filters": 256},
{"filters": 512}
]
},
"bottleneck": {
"filters": 1024
},
"decoder": {
"type": "custom",
"blocks": [
{"filters": 512},
{"filters": 256},
{"filters": 128},
{"filters": 64}
]
}
},
"loss_function": "categorical_crossentropy",
"optimizer": {
"type": "Adam",
"learning_rate": 0.001
},
"training": {
"batch_size": 16,
"epochs": 50,
"validation_split": 0.2
}
} |