{"id":21676397,"url":"https://github.com/vishnun0027/crop_disease_classification","last_synced_at":"2026-04-11T04:34:28.231Z","repository":{"id":245987665,"uuid":"819747496","full_name":"vishnun0027/crop_disease_classification","owner":"vishnun0027","description":"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. 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Fine-tune ViT on the [Crop_Disease](https://huggingface.co/datasets/vishnun0027/Crop_Disease) dataset to classify a Crop Disease in an image\n\n## Screenshots\n\u003cp\u003ePrediction\u003c/p\u003e\n\u003cimg src=\"temp\\img\\Screenshot.png\" height=\"75%\" width=\"75%\"\u003e\n\n## Setup\n\n1. Clone this repository:\n   ```sh\n   git clone https://github.com/vishnun0027/crop_disease_classification.git\n   ```\n2. Install the required dependencies:\n   ```sh\n   pip install -r requirements.txt\n   ```\n3. Run the Streamlit app:\n   ```sh\n   streamlit run main.py\n\n   ```\n   \n\n\n### License\nThis project is licensed under the MIT License. See the LICENSE file for details.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvishnun0027%2Fcrop_disease_classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvishnun0027%2Fcrop_disease_classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvishnun0027%2Fcrop_disease_classification/lists"}