Image Classification
Keras
English
tensorflow
image-classification-multiclass
efficientnetv2
cabbage
plant-disease-classification
agricultural-ai
computer-vision
transfer-learning
leaf-disease
Eval Results (legacy)
Instructions to use Arko007/cabbageguard-efficientnetv2-8class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Arko007/cabbageguard-efficientnetv2-8class with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Arko007/cabbageguard-efficientnetv2-8class") - Notebooks
- Google Colab
- Kaggle
File size: 1,286 Bytes
3fbbbc1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 | {
"model_type": "image-classification",
"framework": "tensorflow",
"architecture": "EfficientNetV2S",
"pretrained": "ImageNet",
"input_shape": [384, 384, 3],
"num_classes": 8,
"include_preprocessing": true,
"classes_file": "classes.json",
"class_names": [
"alternaria_leaf_spot",
"bacterial_leaf_spot",
"black_rot",
"clubroot",
"downy_mildew",
"grey_mould",
"healthy",
"ringspot"
],
"training_dataset": "Arko007/cabbage-disease-classification-final",
"training_images": 1272,
"split_counts": {"train": 891, "validation": 192, "test": 189},
"training_hardware": "Tesla P100-PCIE-16GB",
"training_seed": 42,
"selection_metric": "validation_macro_f1",
"best_validation_epoch": 7,
"best_validation_macro_f1": 0.9585248401011454,
"augmentation": {
"train_only": true,
"validation_and_test": false,
"test_time_augmentation": false,
"layers": ["RandomFlip", "RandomRotation", "RandomZoom", "RandomTranslation", "RandomContrast"]
},
"deployment_notes": {
"expected_filename": "final.keras",
"requires_class_order_from": "classes.json",
"production_backend_must_expose_all_eight_classes": true,
"current_legacy_app_contract_at_training_time": "four_class; update before integration"
}
}
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