[WEEK 1 - Country Classification Using House Photos]
Theme: Our project is about Image Classification. Given images of houses from around the world, the model is to predict the country where the pictures were taken from.
Team Members: Meltem Tokgöz , Enes Furkan Çiğdem , Asma Aiouez
Introduction:
The theme of our project is assigned to be “Home”. Home designs differ from a country to another and when we talk about housing we should be referring to both modern and traditional styles. You may come across a picture of a house, taken by someone somewhere in the world. It can ring a bell to which country this design belong and you might like it so much that it inspires you to have your home designed in a similar manner or it might just help you look up and explore that specific country’s houses. So our application is there to help you out define the origins of a house.
Datasets and Country:
In our project, we decided to collect our own data from the internet. The websites that we have used to gather images are:
Pinterest , Airbnb , Flickr ,Google Photos etc.
Our dataset will include images of houses having modern and traditional designs. Moreover, the pictures are taken from the external views of the houses.
Related Works:
There are lots of related works about this challange.We picked some which are as follows:
