from the project template

• .gitignore
  Globally ignored files by git for the project.
• environment.yml
conda environment description needed to run this project.
• README.md
  Description of the project (see suggested headings below)

Each team member has it's own folder under contributors, where they can work on their contribution. Having a dedicated folder for each person helps to prevent conflicts when merging with the main branch.

Notebooks that are considered delivered results for the project should go in here.

Helper utilities that are shared with the team

Camera Machine LEarning

With the camera data, we are solving two problems:

1. Machine Learning Algorithms for Automated Snow Depth
2. Binary Classifier for Snow In/ Not in in Canopy

picture

List the specific tasks you want to accomplish or research questions you want to answer.

How would you or others traditionally try to address this problem?

Building from what you learn at this hackweek, what new approaches would you like to try to implement?

Optional: links to manuscripts or technical documents for more in-depth analysis.