Dog Vision: A web app that uses deep learning to identify dog breeds from uploaded images. Predicts breed with confidence score and provides Google search link for more information. User-friendly tool for dog breed identification and exploration.

Dog Breed Classification Project which classifies real world dog images and predicts their breed out of 133 breeds/classes. If supplied an image of a human face, the code will identify the resembling dog breed.

Convolutional neural network training for dog breed recognition based on web scraped images

Azure AI Custom Vision Workshop

End-to-end notebook for classifying 120 dog breeds using deep learning. Features data preprocessing, transfer learning (MobileNetV2), model training, evaluation, visualization, and Kaggle-ready submission—all with TensorFlow 2.x and TensorFlow Hub.

This project uses deep learning and transfer learning with TensorFlow to classify dog breeds from images. Trained on the top 10 breeds from the Kaggle dataset, the model achieves over 94% validation accuracy.

Stanford dogs dataset breed classification with Xception (CNN)

Determine breed of dog in an image

A project requirement for the subject 'CS333-M - Data Analytics'

A modern web application for real-time dog breed classification using deep learning. Features a beautiful UI with drag-and-drop uploads, dark mode, and prediction history. Built with Flask, TensorFlow, and MobileNetV2.

DogBreed Classifier MLOPS

Dog Breed classifier project of the Data Scientist Nanodegree by Udacity

DetectoDog is a dog breed image recognizer powered by deep learning. It uses a custom-trained image classification model based on popular vision backbones. Designed to be lightweight and accurate, it will be wrapped in a mobile app for fast, on-the-go breed detection.

image caption generator, dog breed classifier, stock forecasting 🤖🖼️ Порождение подписей на русском языке к изображениям (Python, Keras). Собрал нейросеть из двух частей – свёрточная и рекуррентная части. Получил датасет путём перевода на русский датасета Flickr 8k с помощью Yandex Translate API. Получил метрику BLEU равной 0.51.

CNN-based dog breed classifier in PyTorch with custom dataset and data augmentation.

Classifier for dog and cat breeds created for final project submission at ITC.

Deep learning pipeline for dog breed classification using PyTorch and ImageNet Dogs.

Determine how well the "best" classification algorithm works on correctly identifying a dog's breed. If you are confused by the term image classifier look at it simply as a tool that has an input and an output. The Input is an image. The output determines what the image depicts. (for example, a dog).

A Streamlit-based dog breed prediction app powered by a deep learning model. Accurately identifies dog breeds from uploaded images using CNN architecture, trained on multiple dog breed classes with real-time predictions and intuitive interface.