Projects | Joel Nicolow | Professional Portfolio

Neural Network Implemented in Numpy and Trained/Evaluated on MNIST

Neural network Numpy Backpropagation Machine learning MNIST

CoastVision is an open-source Python framework geared towards generating satellite-derived shorelines (SDS) in PlanetScope imagery.

Python Pytorch Unet Machine learning Image segmentation Satellite-derived shorelines GitHub

Poster presentation 'A Machine Learning Method for Detecting Fog in Mountain Trail Camera Images'

Fog Cloud water interception Image classification Machine learning Computer vision

Lightning talk at Planet Labs’ 'Rise of the Planetary Variables' event at Planet Headquarters in San Francisco, December 2023

Satellites Earth observation Image segmentation Machine learning Coastal Erosion

A Machine Learning Toolkit for Fog Precense Classification

Fog Cloud water interception Image classification Machine learning Computer vision

Python toolkit for pixel annotations

Python Data annotation Pixel classification Machine learning Computer vision

Using Meteorological Monitoring and Image Recognition to Inform Species Relocation

Python Machine learning Computer vision Climate science Meteorology