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Model_related_data = {
"tomatomodel" : {
"dataset" : {
"total_images" : 14678,
"total_classes" : 10,
"classes_names" : [
"Late_blight",
"healthy",
"Early_blight",
"Septoria_leaf_spot",
"Tomato_Yellow_Leaf_Curl_Virus",
"Bacterial_spot",
"Target_Spot",
"Tomato_mosaic_virus",
"Leaf_Mold",
"Spider_mites Two-spotted_spider_mite",
],
},
"training" : {
"epochs" : 7,
"batch_size" : 32,
"img_frame_size" : (224,224),
"CNN_layers" : 5,
"CNN_layer_name" : 'relu',
}
},
"sugarcanemodel" : {
"dataset" : {
"total_images" : 240,
"total_classes" : 3,
"classes_names" : [ "Bacterial Blight", "Healthy", "Red Rot" ],
},
"training" : {
"epochs" : 10,
"batch_size" : 32,
"img_frame_size" : (224,224),
"CNN_layers" : 5,
"CNN_layer_name" : 'relu',
}
},
"cottonmodel" : {
"dataset" : {
"total_images" : 1951,
"total_classes" : 4,
"classes_names" : ["Diseased Cotton Leaf", "Diseased Cotton Plant", "Fresh Cotton Leaf", "Fresh Cotton Plant"],
},
"training" : {
"epochs" : 10,
"batch_size" : 32,
"img_frame_size" : (224,224),
"CNN_layers" : 4,
"CNN_layer_name" : 'relu',
}
},
}
print(Model_related_data['tomatomodel'])
print(Model_related_data['tomatomodel']['dataset']['classes_names'])
print(Model_related_data['tomatomodel']['training'])