Popular GitHub Repositories for Dog Breed

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics applications, AI-enhanced robotics application services, research, and DIY robotics kit development.

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

An iOS app that can detect a dog and determine its breed from an image or video feed.

Image Classifier with Flask and Keras CNN

Udacity nanodegree projects: DLND, DRLND, DAND

This project aims to classify various types of dog skin diseases using deep learning models with images.

Latest main K9 robot repository with 3D vision, local STT/TTS with GPT-3 and 360 LIDAR.

A tiny hot dog detector. Detects using Apple's Core ML - VGG16

Projects and exercises for the Deep Learning Nanodegree

Workshop to build an automatic Not a Dog application , using the Serverless Azure Functions and Cognitive Services

PawSome AI, an innovative application designed to assist pet owners with various tasks such as disease and breed detection, pet care chatbot, and prescription analysis

Implementation of Conditional DCGAN for Dog Dataset

Real-time Emotion-Based, Snapchat-esque Dog Filter using Computer Vision

Projects for Artificial Intelligence Nanodegree

this is a simple artificial neural network model using deep learning and torch-audio to classify cats and dog sounds.

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..

Dogs Breeds Classification With TFLite Using Stanford Dogs Breeds Dataset.

Use AI tech to detect the dog breed. A pet project.

Kaggle dog breed identification implemented via gluon

AI-enhanced image stitching and edge detection app from Gaza Sky Geeks Computer Vision Bootcamp 2024. Integrated Canny, DoG, and YOLO models for human segmentation, with a Flask-based interface for interactive parameter adjustment. Focused on UI design, performance optimization, and maintaining high code quality.