NimbusNet - NCSA Hackathon III Spring 2020

NimbusNet is cloud detection project powered by various state-of-the-art deep learning algorithms.

File Descriptions

1. count_blocks.py

   Get some basic stats about the data. E.g., total number of blocks, the ones that are manually classified as good training data and bad training data.

2. create_dataset_FFN.py

   Create dataset for pixel-wise binary classification (Feed Forward Network (FFN) / Ensemble )

3. create_dataset_UNet.py

   Create dataset for UNet

4. train_FFN.py

   Train dataset using FFN

5. train_UNet.py

   Train dataset using UNet

6. Bagging.ipynb

   Contains ensemble of decision trees based on bagging and random patching

7. NCSA Hackathon III

   Final Presentation file

Folder 'Multi-band UNet contains Non-dynamic UNet model base on band 2, 26 and 31, for more details check README in the folder.