Math 443 Final Project Models
This project contains image learning models for group 4's final project for UW-Madison's Math 443: Applied Linear Algebra.
There are two main directories in this project, oxford-pets and cityscapes.
Each repository contains the models trained on those datasets respectively.
Oxford Pets
oxford-pets contains two models for the dataset, the image classifier and image masker.
The ensemble model of these two is roughly a single-object segmentation model.
These were trained from random weights, and gave decent results.
CityScapes
cityscapes contains a single model for making instance segmentation predictions on the CityScapes images.
The model was fine-tuned from the torchvision Mask R-CNN w/ ResNet50 backbone.
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