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Flower-Dataset-Resnet50-180

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adding Resnet50 architecture trained model on flower dataser

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  2. Model/flower_resnet_normalizedv2/fingerprint.pb +3 -0
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  4. Model/flower_resnet_normalizedv2/saved_model.pb +3 -0
  5. Model/flower_resnet_normalizedv2/variables/variables.data-00000-of-00001 +3 -0
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  flowers_url: "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz"
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+ # ResNet-50 Model for Flower Classification
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+
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+ This model is based on the ResNet-50 architecture and has been trained on a dataset of flower images.
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+
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+ ## Model Details
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+ - **Architecture**: ResNet-50
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+ - **Input Size**: 180x180 pixels with 3 channels (RGB)
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+ - **Data Preprocessing**: The model has been trained on normalized data.
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+ - **Model Accuracy**: 80%
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+ -
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+ ## Usage
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+ You can use this model for flower image classification tasks. Below are some code snippets to help you get started:
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  flowers_url: "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz"
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