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In this paper I introduce a new oral lesion database that I created by scraping Images from research papers and dentists online. Next, I showcase a novel method for generating NxN pixel samples from human lips by isolating the labial fissure via image segmentation induced via the Kmean algorithm. I experiment with a variety of convolutional neur…
Image Classification for a City Dog Show Project Goal Improving your programming skills using Python. In this project, I use a created image classifier to identify dog breeds. It is for one of the submission for the udacity nanodegree program
Pytorch implementations of each of the models described in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan, Andrew Zisserman
This repo implements a VGG model with SPP layer to make it receive images with different shapes, which is then used to classify images of culture relics and compare results under differnt images types - gray images with the same shape, gray images with different shapes, bgr images with the same shape, bgr images with different shapes