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@@ -107,8 +107,8 @@ The model was trained on a dataset containing images of various crops with label
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  - **Rice**: Brown Spot, Hispa, Leaf Blast, Healthy
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  - **Wheat**: Brown Rust, Yellow Rust, Healthy
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- The dataset also includes images captured under various lighting conditions and angles to simulate real-world farming scenarios.
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-
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  ### Training Procedure
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  The model was fine-tuned using a vision transformer architecture pre-trained on the ImageNet dataset. The dataset was preprocessed by resizing the images and normalizing the pixel values.
 
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  - **Rice**: Brown Spot, Hispa, Leaf Blast, Healthy
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  - **Wheat**: Brown Rust, Yellow Rust, Healthy
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+ The dataset also includes images captured under various lighting conditions, from both controlled and uncontrolled environments and angles, to simulate real-world farming scenarios.
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+ We made use of public available datasets, and our own private data.
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  ### Training Procedure
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  The model was fine-tuned using a vision transformer architecture pre-trained on the ImageNet dataset. The dataset was preprocessed by resizing the images and normalizing the pixel values.