High-Level Project Summary
Marine doctor is a project that has developed a solution . By using our model we can detect, classify and segregate marine debris from non-marine debris. Given an image dataset, Cerberus can quickly identify if any marine debris is present. Our solution is cost-effective and easy to implement, and it can easily be used by scientists all around the world to effectuate change.
Link to Final Project
Detailed Project Description
Our Project uses MATLAB tools to detect and classify the images as plastic debris or not. We have trained the dataset in deep convolutional neural network to get the desired output. The first goal is achieved that is detection of marine plastic debris ,classify them and effectively segregate to the respective categories.
Space Agency Data
We used the following open data of NASA:
https://coast.noaa.gov/states/fast-facts/marine-debris.html
https://marinedebris.noaa.gov/
https://sos.noaa.gov/catalog/datasets/marine-debris-garbage-patch-experiment-drifters-and-model/
https://www.epa.gov/sites/default/files/2020-10/documents/marinelitter_booklet_10.16.20_v10epa.pdf
https://www.doi.gov/ocl/marine-debris
https://marinedebris.noaa.gov/
Hackathon Journey
Learned to work for the betterment of nature.
We approached the challenge through deep learning mechanism to create visualization database based on AI/ML algorithms that will aid in classifying and detecting these plastics .
References
https://marinedebris.noaa.gov/
https://coast.noaa.gov/states/fast-facts/marine-debris.html
https://marinedebris.noaa.gov/
https://sos.noaa.gov/catalog/datasets/marine-debris-garbage-patch-experiment-drifters-and-model/
https://www.epa.gov/sites/default/files/2020-10/documents/marinelitter_booklet_10.16.20_v10epa.pdf
https://www.doi.gov/ocl/marine-debris