This repository contains data from Sentinel-2 imagery on floating marine debris, with annotations for six debris classes, including plastic, driftwood, seaweed, pumice, sea snot, and sea foam.

Generates an Abaqus simulation batch describing a cracked half-plane, and outputs the J-integral

Semantic segmentation of marine anomalies using semi-supervised learning (FixMatch for semantic segmentation) on Sentinel-2 multispectral images.

Material properties database

Python code for extracting statistics on floating debris from a time-lapse camera

A Videogame coded in python pygame. The setting is adapted to everyday school life. It's about asserting yourself in small mini-games and using as little plastic as possible.

A set of tools to visualise and analyse data collected by Plastic@Bay

A NASA International Space Apps Challenge Project

My thesis project - machine learning classifiers for visual sorting of plastic waste. I created a support vector machine and a convoluted neural network to recognize different types of plastic waste.

A linux script to install Plastic SCM from the published ZIP bundles