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Browse files- config.json +25 -0
config.json
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{
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"model_name": "Maize Anomaly Detection Model",
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"tags": [
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"pytorch",
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"resnet",
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"agriculture",
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"anomaly-detection"
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],
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"license": "apache-2.0",
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"library_name": "pytorch",
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"datasets": [
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"your_huggingface_username/your_dataset_name"
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],
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"architecture": "ResNet50",
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"input_shape": [3, 224, 224],
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"num_classes": 2,
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"optimizer": "Adam",
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"learning_rate": 0.001,
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"epochs": 20,
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"batch_size": 32,
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"pretrained": false,
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"finetuned": true,
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"training_framework": "PyTorch",
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"description": "This model is trained to detect anomalies in maize crops, such as pest infections, diseases, or nutrient deficiencies, using ResNet50 architecture."
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}
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