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Cat and Dog Breed Classification using CNN. This repository contains the implementation of a Convolutional Neural Network (CNN) model for classifying cat and dog breeds. The project is part of my college AI coursework, utilizing a dataset sourced from Kaggle.
- Importing Libraries
- Importing Dataset
- Data Visualization
- Model Architecture
- Model Training
- Conclusion
The libraries we will using are : 1. Pandas – This library is used to load 2D array format and DataFrames. 2. Numpy – It is used to perform large computations in a very short time. 3. Matplotlib– This library is used to draw visualizations. 4. Sklearn – This module contains multiple libraries having pre-implemented functions to perform tasks from d...
The dataset is in the format of a zip file containing 2 folders : Cat and Dog. Further each folder contains 12500 images of respective animals. So to import and then unzip it, you can run the below code.
In this section, we will try to understand visualize some images which have been provided to us to build the classifier for each class. This shows that, there are two classes that we have here i.e. Cat and Dog. Output :
The model will contain the following Layers: 1. Four ConvolutionalLayers followed by MaxPoolingLayers. 2. The Flattenlayer to flatten the output of the convolutional layer. 3. Then we will have three fully connected layers followed by the output of the flattened layer. 4. We have included some BatchNormalizationlayers to enable stable and fast trai...
Now we will train our model, the model is working fine on epochs = 10, but you can perform hyperparameter tuning for better results. Output :
Once you understand the concept of Image Classification, now you can try different classification like Lung Cancer Detection using CNN. For better performance, we can use Transfer Learning and perform hyperparameter tuning.
In this Deep Learning project for beginners, we will develop a convolution neural network for classifying images of Cats and Dogs using Python with Keras
Apr 13, 2019 · The goal is to train a neural network to identify the breeds of cats and dogs based of photos of them. It uses the Oxford-IIT Pet Dataset which was created by researchers at Oxford University's Visual Geometry Group.
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.
Jan 11, 2022 · Learn how to create a cat and dog breeds classifier using a machine learning model in Python to predict the breed of your pet
Feb 29, 2024 · In this article, I will demonstrate my process for classifying cats and dogs using Convolutional Neural Network or CNN. I will share my experiences in experimenting with various techniques, such...
