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README.md
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---
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model_name: Wheat Anomaly Detection Model (
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tags:
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-
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- resnet
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- agriculture
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- anomaly-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:
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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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- 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:
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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 (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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- 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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- 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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