Camera Data Machine Learning Project

from the project template

Files

• .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)

Folders

contributors

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

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

scripts

Helper utilities that are shared with the team

Recommended content for your README.md file:

Project Summary

Project Title

Camera Machine LEarning

Collaborators on this project

Name	Role
Katie Breen
Marianne Cowherd
Daniel Hogan
Jukes Liu
Evi Ofekeze
Ibrahim Olalekan Alabi
Mark Raleigh
Chingping Yu
Todd Mitchell

The problem

With the camera data, we are solving two problems:

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

Application Example

Sample data

picture

Specific Questions

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

Existing methods

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

Proposed methods/tools

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

Background reading

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