We successfully built a deep neural network model by implementing Convolutional Neural Network (CNN) to classify dog and cat images with very high accuracy 97.32 %. In addition, we also built a Flask application so user can upload their images and classify easily.

This is a flask web app which classify whether images contain either a dog or cat.

A flask based web application to differentiate between cats and dogs

Cat Vs Dog Classification Model using CNN & ANN | Python-FlaskApp

Flask app for Classification of Dog/Cat using (CNN) with transfer learning @MobileNetV2

It is a computer vision project for cat and dog classification using flask app.

Cat & dog image classification Flask App

Classificatio project with using CNN model by Fahad Saeed

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This is the Flask application I developed to test the model from : https://github.com/AranOribu/Dogs-vs-Cats-Classification-Using-CNN

Flask web app for Cat vs Dog image classification using TensorFlow model

Cat Vs Dog Classification Web Application using Flask Python

CNN-based Cat vs Dog image classification web app using Flask and TensorFlow

Basic DL with CNN for dog/cat classification with Flask web app run in docker

A weak Cat-Dog Image Classification model built to test deployment to Android app via Flask API

This Flask-based web app predicts whether uploaded images contain a dog or cat, utilizing a machine learning model. Users receive instant classification results.

A CNN-based Cat vs Dog image classification web app built using TensorFlow/Keras and Flask, allowing users to upload images and get real-time predictions.

🐶🐱 A deep learning-based image classification web app that predicts whether an uploaded image is of a dog or a cat using a CNN model built with TensorFlow and Flask.

CNN-based image classification app that distinguishes between Human, Cat, Dog, and Pig. Built with TensorFlow/Keras, it includes training scripts and a simple Flask web interface for uploading images and predicting class labels.

AI-powered web app for real-time image classification (e.g., cat vs dog). Built using TensorFlow, FastAPI, and Flask, with a responsive Bootstrap UI. Features include image preview, confidence scoring, and a RESTful backend.

Flask API leverages a custom-trained, weighted model to differentiate between 12 cat breeds and 25 dog breeds across 7,349 photos. After several hours of training, the app achieved over 90% accuracy in breed classification.

A simple machine learning classifier that predicts whether an uploaded image is a cat or a dog. Built with Python, Flask, OpenCV, and Scikit-learn using HOG feature extraction. Includes a web app for easy image uploads and classification.

A Convolutional Neural Network (CNN)-based image classification project built with TensorFlow and Flask to predict whether an image is of a cat or a dog. The app features a simple UI for uploading an image, and it returns the predicted class.

CIFAR-10 Image Classifier Web App 🌐🎨🔍 This repository contains a CIFAR-10 image classification web application powered by TensorFlow, Flask, and JavaScript. Users can upload an image, and the model predicts its category (e.g., airplane, cat, dog, etc.)