This blog is about project which is classifying dog breed using several models using transfer learning. Here we go through following
- Project Overview
- Problem Statement
- Metrics
- Data Exploration
- Visualization
- Data Preprocessing steps
- Implementation
- Refinement
- Results
- Justification
- Reflection
- Future Improvements
Project overview
This project uses Convolutional Neural Networks (CNNs). This project is built using a pipeline to process real-world, user-supplied images. Given an image of a dog, this 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.
Problem Statement
This project is about building Image classification…
With this blog post we are going to build a model which can do two things. First it finds whether given image is of dog or human or none of them two and secondly it classifies breed of dog if it is a dog or resembling breed if it is human and if it is none of dog and human it predicts breed of unknown with a message that it is not human and dog.
Steps we are going to follow are
- Importing Datasets
- Program to Detect Humans and Dogs
- Creating a CNN to Classify Dog Breeds
- Using a CNN…
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