Capstone Project 2 for Data Science Career Track: Image Classification of Dog Breeds

Transfer Learning with TensorFlow

Dogs Breeds Classification With TFLite Using Stanford Dogs Breeds Dataset.

A basic dogs breeds app I build while learning Flutter

A dataset of images for dog breeds recognized by the FCI (Fédération Cynologique Internationale)

Built with HTML5 and CSS3, Glamapaws Dog Breeding is a commercial website for experienced dog breeder Jodie Thomas. The website aims to inform users about Jodie's services and provide a direct avenue of contact for the breeder.

EDA on TidyTuesday Dog Breeds Repository

A terminal-based application for computing statistics based on Calgary's most popular licensed dog breeds dataset. Utilize Pandas DataFrame objects for data manipulation and analysis, including importing Excel data, hierarchical indexing, and processing data according to specifications.

Semestrální práce z předmětu Databázové systémy a metody zpracování informací 2

Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.

A random discovery web app, allowing users to explore random dog breeds through API calls. Users can ban specific breeds from future searches and maintain a history of viewed results.

Generate and use a database of dog breeds and their traits using dogtime.com

Won The Best Community Project. Web app built on the Django framework that lets you serve the community of canines

Using transfer learning on a CNN to build a 120 breed dog classifier

Machine learning model to determine the breed of a dog from an image

The image classifier for dog breeds built with PyTorch

This is an online application showing various dog breeds. The pictures shows how the dogs' features vary across the breed types thus helping people know them better.

This project features advanced data wrangling on three Twitter datasets related to dogs. One dataset contains predicted dog breed types from a model, though no modeling code is included. The focus is on cleaning, merging, and performing some exploratory data analysis (EDA) to uncover insights about dog breeds and Twitter activity within the data.