├── baseline/
│ ├── KNN_model.ipynb
├── data_processing/: data acquisition and processing code
│ ├── Creating_Train_Val_Test_Split.ipynb
│ ├── api_request_signature.py
│ ├── geocell_imagery_sampling.py
│ ├── imagery_download.py
├── primary_model/
│ ├── TRAINING_TEMPLATE.ipynb
│ ├── /hyperparameter-tuning: includes all of the model training results
├── testing/: distance computation and output visualization code
│ ├── Collect_Image_Filenames_in_Dataset.ipynb
│ ├── Distance_Computation_and_Visualizations.ipynb
│ ├── Confusion_Matrix.ipynb
- Download the dataset or create a shortcut to Drive at 32k_train_val_test
- Open the
primary model/TEMPLATE.ipynb
file in Google Colab. ClickRun All
. Enjoy.
This ML project is based off the ResNet 50 architecture available on PyTorch.