Dog Breed Detection

This repository contains the machine learning model and code for the Dog Breed Detection project, which utilizes TensorFlow and Python to accurately predict dog breeds from images. This project showcases a practical application of convolutional neural networks (CNNs) for image recognition tasks.

Project Overview

The Dog Breed Detection model is built using TensorFlow and trained on a dataset of over 10,000 images spanning numerous dog breeds. The model aims to provide high accuracy in identifying the breed of a dog from an image, using machine learning techniques to enhance the understanding and application of image processing.

Features

• Image Processing: Utilize TensorFlow and Python libraries to process and analyze image data.
• Model Training: Detailed steps to train the machine learning model using a comprehensive dataset.
• Accuracy Improvement: Techniques implemented to increase the model's prediction accuracy.

Technologies Used

• Python 3.8+
• TensorFlow 2.x
• NumPy
• Pandas