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Image classification is the process of assigning a label or class to an image based on its visual content. Fine-tuning a Vision Transformer (ViT) on the Crop_Disease dataset involves adapting a pre-trained ViT model specifically for the task of identifying crop diseases in images. This process includes training the model on the Crop_Disease dataset

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vishnun0027/crop_disease_classification

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Crop Disease Identification

Image classification

Image classification assigns a label or class to an image. Fine-tune ViT on the Crop_Disease dataset to classify a Crop Disease in an image

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Prediction

Setup

  1. Clone this repository:
    git clone https://github.com/vishnun0027/crop_disease_classification.git
  2. Install the required dependencies:
    pip install -r requirements.txt
  3. Run the Streamlit app:
    streamlit run main.py
    

License

This project is licensed under the MIT License. See the LICENSE file for details.

About

Image classification is the process of assigning a label or class to an image based on its visual content. Fine-tuning a Vision Transformer (ViT) on the Crop_Disease dataset involves adapting a pre-trained ViT model specifically for the task of identifying crop diseases in images. This process includes training the model on the Crop_Disease dataset

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