Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch!

The goal of the project is to develop a PyTorch-based model capable of recognizing and classifying 3 dog breeds and localizing 3 specific body parts within images.


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Table of Contents

1. About The Project
2. Getting Started
   • Installation
3. Usage
4. Roadmap
5. License
6. Contact

About The Project

Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images. This repository contains the code and resources for training and evaluating the model, as well as a user interface for interacting with the algorithm.

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Installation

1. Clone the repo ...

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Usage

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Roadmap

Mandatory features:

• Recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky)
• Localizing 3 specific body parts (eyes, nose, tail)

Optional features:

• UI

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License

Distributed under the MIT License. See LICENSE for more information.

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Contact

Gerardo Cipriano - [email protected]

Massimiliano Battelli - [email protected]

Project Link: https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch

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