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This is a small web application which can able to detect 1000 different objects .

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Image Classification Application

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Demo

Link: https://image-guesser.herokuapp.com//

Overview

This is a simple web application which can able to predict 1000+ different objects. I developed this model using tranfer learning techinque with help of keras-tensorflow framework.

Motivation

I started to learn Data science to explore my carrier in Data world. I learned different methodologies and tools to achieve and solve real world problems. Finally it is important to work on application (real world application) to actually make a difference.

Installation

The Code is written in Python 3.6.10. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:

pip install -r requirements.txt

Deployement on Heroku

Login or signup in order to create virtual app. You can either connect your github profile or download ctl to deploy this project.

Next step would be to follow the instruction given on Heroku Documentation to deploy a web application.

Technologies Used

Bug / Feature Request

If you find a bug , kindly open an issue here by including your search query and the expected result

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This is a small web application which can able to detect 1000 different objects .

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