Dog breed classification web app built with Streamlit and TensorFlow. Upload a dog image and get predicted breed using a trained CNN model.

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This dataset of dog pictures is a given. The label (breed category) of an image serves as the name of a subfolder in the training dataset. For instance, the breed category 9 is home to all of the photos in subfolder 9. The categorization of the dog photos in the test dataset must be predicted.

This project focuses on using artificial intelligence and neural networks to create a model capable of identifying dog breeds from images. The project leverages Google Colab and TensorFlow for model training and prediction..

Dog Breed Prediction App Using Deeplearning, CNN, Flask, Numpy, pandas, kearas, HTML......

Classifier trained using transfer learning for predicting among 133 different dog breeds.

What Dog Breed do you resemble? Give this project your photo and find out! Give this project the photo of your pet dog and it will tell the breed.

This project focuses on building a Deep Learning model that classifies dog breeds from images using TensorFlow and Keras. The model can identify multiple dog breeds with high accuracy and is suitable for deployment in desktop or web applications.

This App uses CNNs and the Keras framework to predict dog breeds.

AI powered Dog Breed prediction app

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CNN that classifies dog breeds

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Backend for AI powered Dog Breed Prediction App

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AI-powered dog breed classification system built for a Master’s capstone project. Utilizes deep learning and transfer learning with CNNs (MobileNetV2, ResNet50) to classify 120 dog breeds from images. Trained on Kaggle dataset and deployed using Streamlit for real-time predictions.

A deep-learning system that identifies dog breeds from images using a fine-tuned ResNet50V2 model. It preprocesses, augments, and classifies images across many breeds, delivering fast, accurate predictions through both a Python script and a simple, interactive GUI for easy use.

Dog Breed Prediction

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Dog Breed Detection using Machine Learning 📝 Overview The Dog Breed Detection project is a machine learning-based system that classifies images of dogs into their respective breeds. It leverages Deep Learning and Convolutional Neural Networks (CNNs) for accurate classification.

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Dog Breed Prediction using Deep Learning

Using transfer learning from VGG19 model to train on a dataset to predict different dog breeds.

Predict the dogs breeds and fun application by finding dogs, and humans in images then finding the most similar dog breed to a human in an image

Algorithm for a Dog Identification App: