A pixel classification based multiplexed image segmentation pipeline

Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

A single-layer Random Forest model for pixel classification (image segmentation).

Multi-Layer Random Forest [for Image] Segmentation

A TensorFlow implementation of the U-Net architecture for pixel classification (image segmentation).

Classifying the materials of individual pixels taken by satellite using Spectral Unmixing and Pixel Classification.

[2021 Summer Research in Applied Machine Learning] Built two desktop apps using PyQt5 to perform pixel-classification with k-means clustering to explore the chemical composition of objects scanned with high-resolution x-rays.

Deep learning experiment - pixel classification

GIS - TP 2 - Clasificación de imágenes satelitales para la detección de cultivos y cuantificación de áreas sembradas en Argentina

Code used in two blog posts on decision trees and random forests.

A step-by-step guide to vegetation classification and calculation of unvegetated - vegetated ratio of salt marshes with public aerial imagery