Dog_vs_Cat_Classification

This repository contains the scripts and configuration files needed to train a YOLOv8 model to classify images of cats and dogs using a dataset of over 10,000 images.

Project Overview

1. Dataset Preparation: The dataset consists of more than 10,000 images of cats and dogs. For YOLOv8, each image needs an associated .txt file that specifies the bounding box coordinates and class labels.
2. Data Splitting: The dataset is split into training and validation sets.
3. Model Training: The YOLOv8 model is trained using the prepared dataset.