Soft Coated Wheaten Terrier Puppies

Predict Dog Breed using Python Function instead of Using Actual Classifier

This project involves developing a Python application to classify dog breeds using pre-trained convolutional neural networks (CNNs). It utilizes models such as ResNet, AlexNet, and VGG to process input images and accurately identify the breed.

The image classifier to recognize different breeds of dog. Dataset used contains 50 images of dogs. In Image Classifier Project Resnet18, Alexnet, VGG16 from torchvision.models pretrained models were used. It was loaded as a pre-trained network, in which input images are transformed and resized for better prediction.

Determine how well the "best" classification algorithm works on correctly identifying a dog's breed. If you are confused by the term image classifier look at it simply as a tool that has an input and an output. The Input is an image. The output determines what the image depicts. (for example, a dog).

Repository of the Udacity AI Programming with Python Project Submission Files

Flutter desktop application for classifying dog breeds using a pre-trained TensorFlow model. Users can upload a dog photo, and the app sends it to a Python script for prediction. The result is displayed with the top predicted dog breeds and probabilities. Note: Currently available for Windows only.

Identify dog breeds with ease using this Streamlit app powered by a pre-trained machine learning model.

The goal of the project is to improve a kaggle project about Dog Breed Classification, achieving an higher test accuracy. The original project achieved 79% of accuracy on the test set, while this one goes up to 87%. Also further improvements were made to the data processing pipeline in terms of modularity and performance.

DogBreed Classifier MLOPS

Machine Learning project deployed in AWS that classifies dog breeds using a Base Model ResNet50 from torchvision library

Image classification with deep learning

This project aimed to utilize a pre-trained image classifier to identify dog breeds for a citywide dog show. The primary goal was to improve programming skills using Python, focusing on utilizing the classifier rather than developing it.

These are all the assignments from Udacity Nanodegree Machine Learning course

Dog Breed Image Classification Web Application. Met requirements for WGU Computer Science Capstone.

An App that displays information about different dog breeds for a technical test using Typrescript/Angular Framework

Developers of all skill levels get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

Hot dog, wiener dog, or corn dog?