Capstone Project 2 for Data Science Career Track: Image Classification of Dog Breeds
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Updated
May 12, 2018 - Jupyter Notebook
Capstone Project 2 for Data Science Career Track: Image Classification of Dog Breeds
Transfer Learning with TensorFlow
Dogs Breeds Classification With TFLite Using Stanford Dogs Breeds Dataset.
A basic dogs breeds app I build while learning Flutter
Glamapaws is a dog breeding website focused around golden retrievers, dachshunds and golden doodles.
Won The Best Community Project. Web app built on the Django framework that lets you serve the community of canines
A terminal-based application for computing statistics based on Calgary's most popular licensed dog breeds dataset. Utilize Pandas DataFrame objects for data manipulation and analysis, including importing Excel data, hierarchical indexing, and processing data according to specifications.
Generate and use a database of dog breeds and their traits using dogtime.com
A dataset of images for dog breeds recognized by the FCI (Fédération Cynologique Internationale)
The image classifier for dog breeds built with PyTorch
This is an online application showing various dog breeds. The pictures shows how the dogs' features vary across the breed types thus helping people know them better.
Using transfer learning on a CNN to build a 120 breed dog classifier
Machine learning model to determine the breed of a dog from an image
Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.
Add a description, image, and links to the dog-breeds topic page so that developers can more easily learn about it.
To associate your repository with the dog-breeds topic, visit your repo's landing page and select "manage topics."