ArnolFokam/cgiar-zindi-crop-classification

Code for challenge zindi.africa # Get Started with ResNet50 baseline 1. Create a pyton environment and install the requirements.txt 2. Download the data with the following command ```bash python download_data.py && unzip data/images.zip -d data && rm data/images.zip ``` 3. Download the `Train.csv`, `Test.csv` and `SampleSubmission.csv` from here and put them in the data folder. 4. Run the following command to train the model and get the results ```bash python main.py ``` Note: you can modify the import in the `main.py` file to use you run training code.