https://github.com/aditya-ranjan1234/catvsdog-classifier
Find whether the given image if of a CAT or DOG
https://github.com/aditya-ranjan1234/catvsdog-classifier
classifier cnn keras-neural-networks ml
Last synced: 7 months ago
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Find whether the given image if of a CAT or DOG
- Host: GitHub
- URL: https://github.com/aditya-ranjan1234/catvsdog-classifier
- Owner: Aditya-Ranjan1234
- License: gpl-3.0
- Created: 2024-06-08T19:32:55.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-08T20:04:31.000Z (over 1 year ago)
- Last Synced: 2025-03-16T07:44:44.380Z (7 months ago)
- Topics: classifier, cnn, keras-neural-networks, ml
- Language: Jupyter Notebook
- Homepage:
- Size: 23.4 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Cat and Dog Image Classifier
This repository contains a Convolutional Neural Network (CNN) model built using TensorFlow/Keras to classify images as either cats or dogs.
## Overview
The model is trained on a dataset of 5000 cat and dog images and achieves a reasonable level of accuracy in distinguishing between the two classes. The dataset is split into training and validation sets.
## Installation
Clone the repository:
```
git clone https://github.com/Aditya-Ranjan1234/CatVsDog_Classifier.git
## Model Architecture
The CNN model consists of the following layers:
- Convolutional layers with ReLU activation
- MaxPooling layers
- Fully connected (Dense) layers
- Sigmoid activation in the output layer for binary classification
## Dataset
The dataset used : https://www.kaggle.com/datasets/salader/dogs-vs-cats/data