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OpenCV's K Nearest Neighbours model is trained on a labeled dataset of 400+ images of cats and dogs to differentiate between. The model performs best when K = 1, with 93.3% accuracy. The .yml file contains the chosen model's details created with CV Studio software.
Differential Privacy (DP) is a technique for preserving the privacy of individuals in a dataset while allowing meaningful analysis of the data. This technique adds random noise to the data in a way such that no inferences can be made about sensitive data.
A command line application that implements an image classifier with PyTorch. Part 2 of final project for Udacity's AI Programming with Python Nanodegree program.
This repository aims to provide a primitive tool to finetune state-of-the-art models with PyTorch implementation, similar to Nvidia TAO but with more flexibility in augmentation and models.
Classificationbox Toolkit - a .Net wrapper for Machine Box's Classificationbox service and a CLI program using it to train a model and sort image folders
Framework that generates a set of images based on the queries.txt file, each query is considered a class that will be used to generate a model later. The model consists in a CNN for classifying images.