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Breed Read is built as a Progressive Web App (PWA) with React and Next.js. The machine learning model responsible for classifying the images is implemented using the TensorFlow and Keras libraries for Python.
Sep 9, 2024 · In this article, we will learn how to build a classifier using the Transfer Learning technique which can classify among different breeds of dogs. This project has been developed using collab and the dataset has been taken from Kaggle whose link has been provided as well.
Star 7. master. README. Use a Pre-trained Image Classifier to Identify Dog Breeds. This project was part of the AI-Programming with Python Nanodregree by Udacity. Principal Objectives. Correctly identify which pet images are of dogs (even if breed is misclassified) and which pet images aren't of dogs.
Jul 31, 2023 · The Dog Breed Identification dataset, available on Kaggle, is used in a machine learning competition aiming to create a classifier for recognizing dog breeds from images. This dataset...
- Subin Thomas
This project is part of the AWS AI & ML scholarship program on Udacity . The objective is to build a command line application using Python to use a pre-trained image classifier trained on ImageNet dataset to identify whether a image is of a dog or not. Also, identify the dog breed.
Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed. The code is written in Python 3 and PyTorch all presented in this Jupyter Notebook: dog_app.ipynb.
Our dog breed analysis uses sophisticated AI algorithms that examine the uploaded image of your dog. It identifies specific breed-defining features such as ear shape, muzzle length, fur pattern, and body size.
