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Update README.md

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  ---
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- model_name: Wheat Anomaly Detection Model (ONNX)
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  tags:
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- - onnx
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  - resnet
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  - agriculture
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  - anomaly-detection
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- - image-classification
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- - wheat-disease-detection
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- - pest-detection
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- - agricultural-ai
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  license: apache-2.0
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- library_name: onnx
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  datasets:
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- - wheat-dataset # Replace with the actual dataset name if available
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- model_type: resnet50
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  preprocessing:
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  - resize: 256
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  - center_crop: 224
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  - normalize: [0.485, 0.456, 0.406]
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  - normalize_std: [0.229, 0.224, 0.225]
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- framework: onnx
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  task: image-classification
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  pipeline_tag: image-classification
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  ---
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+ model_name: Wheat 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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  license: apache-2.0
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+ library_name: transformers
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  datasets:
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+ - wheat-disease-dataset
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+ model_type: resnet
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  preprocessing:
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  - resize: 256
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  - center_crop: 224
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  - normalize: [0.485, 0.456, 0.406]
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  - normalize_std: [0.229, 0.224, 0.225]
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+ framework: pytorch
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  task: image-classification
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  pipeline_tag: image-classification
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