Aminur's Solution#4
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sample_train_valid_dataset: a sample augmented dataset for train and validation
test_dataset: test dataset for this task
Classification_ML_OROHEALTH.ipynb: description of the whole model and data preparation part. In addition, provide coding for training, validation, and testing. Lastly, I show a performance evaluation of my proposed approach.
train_valid_dataset.csv: contains labels, location information for each image of train_valid_dataset
test_dataset.csv: contains labels, location information for each image of test_dataset
data_offline_aug.py: python script to make the augmented dataset
data_prep.py: python script to make CSV file. These files contain the description of datasets. In addition, I use these CSV files to make npy version of my dataset for model training.
data_npy_make.py: making procedure of NumPy files.