Skip to content

ryangrabo/Docker_Flask_Geospatial_Development

Repository files navigation

App for Final Deplyoment System for Senior Design Project 1725

Classifying Invasive Species Using Drone Images and Deep Learning

Project Video:

Classifying Invasive Species Using Drone Images and DL Video

About the Project:

Aquatic invasive species of plants are spreading rapidly and harming local ecosystems, especially in areas like Presque Isle State Park, impacting over 70 acres in the area. The objective of the Classifying Invasive Species Using Drone Images and Deep Learning Project is to design and create a system that can automatically identify and map three of the major aquatic invaive plants (Phragmites, Narrow-leaved Cattail, and Purple Loosestrife) from uploaded images taken via drones, thus facilitating the plants' management and removal.

Setup

Setup steps to get the website running at howToSetup.md.

Deploying the Website:

Steps to actually deploy to website: Deploying_to_website.md

Githubs used to train models:

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors