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Using CNN this project can classify 133 class of different dogs and also has an algorithm to detect humans and find which breed of dogs they look like, built for Udacity's AI nanodegree

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mysterious588/Dog-Breed-Classifier

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Project Overview

Convolutional Neural Networks (CNN) project in Udacity's AI Nanodegree! In this project, Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.

Project Instructions

Instructions

  1. Clone the repository and navigate to the downloaded folder.

  2. Download the dog dataset. Unzip the folder and place it in the repo, at location path/to/dog-project/data/dog_Images. The dog_Images/ folder should contain 133 folders, each corresponding to a different dog breed.

  3. Download the human dataset. Unzip the folder and place it in the repo, at location path/to/dog-project/data/lfw.

  4. Run the cells in [dog_app.ipynl]

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Using CNN this project can classify 133 class of different dogs and also has an algorithm to detect humans and find which breed of dogs they look like, built for Udacity's AI nanodegree

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