ANN_IMAGE CLASSIFIER

This is an image classifier Deep Learning model created with the help of Artificial Neural Network

It detects images using deep learning and python

I will be using Artificial Neural Network in this project,in perticular ANN is trained on CIFAR10 dataset of KERAS.

This Cifar10 datasets consits of 10 labels, including

1. Plane
2. Automobile
3. Cat
4. Dog
5. Deer
6. Ship
7. Truck
8. Frog
9. Horse
10. Bird

Installation

* pip3 install numpy
* pip3 install keras
* pip3 install tensorflow
* pip3 install flask 
* Docker

Working Process

The ANN model is built on python program and later on it is connected to the flask which helps it to deploy on webserver. Webpages are built on HTML. Docker and Dockerfile is used to convert all of it into an OS(image). That image is later on pushed on Docker Hub for public use. To pull that image from Docker Hub docker pull maverick6798/ann_image_classifier All the files later on are uploaded on github.

To Run The Project

1. Download the docker
2. Use these command on terminal -

• docker pull maverick6798/ann_image_classifier
• docker run -dit maverick6798/ann_image_classifier

3. Go to your browser and use URL 0.0.0.0:5000.
4. Upload an image of the thing from above list.

NOTE

There is a chance that docker might not open image. so use command setenforce 0 before running the image.

NOTE

This model is built with the accuracy of 51%. So there are 49% chances that the model will not be able to give its correct name.Updates are in process to increase the accuracy of the model.