{"id":21383243,"url":"https://github.com/sreeeswaran/image-classification-using-efficientnet","last_synced_at":"2025-03-16T11:24:03.374Z","repository":{"id":245480097,"uuid":"818376477","full_name":"SreeEswaran/Image-Classification-using-EfficientNet","owner":"SreeEswaran","description":"This project uses a pre-trained EfficientNet model to classify images into different categories. 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The model is fine-tuned on a custom dataset for this purpose.\n\n### Note:\n\n- I added a new section under \"Data\" specifically for the ImageNet dataset.\n- Provided a link to the ImageNet download page. Users will need to register and follow the instructions on the ImageNet website to download the dataset.\n- Emphasized the need to organize the downloaded dataset into `train` and `test` folders within the `data` directory of your project.\n\n## Data\n\n### ImageNet Dataset\n\nYou can download the ImageNet dataset using the following links:\n\n- [ImageNet Download (Registration Required)](http://www.image-net.org/download)\n\nAfter downloading, extract the dataset and organize it into `train` and `test` folders as per your project's data structure.\n\n## Setup\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/SreeEswaran/Image-Classification-using-EfficientNet.git\ncd Image-Classification-using-EfficientNet\n```\n2. Install the dependencies\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. Training the model\n    ```bash\n    python scripts/train.py\n    ```\n4. Evaluating the model\n   ```bash\n   python scripts/evaluate.py\n   ```\n5. Making predictions\n   ```bash\n   python scripts/predict.py\n   ```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreeeswaran%2Fimage-classification-using-efficientnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsreeeswaran%2Fimage-classification-using-efficientnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsreeeswaran%2Fimage-classification-using-efficientnet/lists"}