[WEEK 1- Predicting the pieces of furniture in living rooms]

Group Members: Mohammed ALI, Aybüke Yalçıner, Hatice ACAR.

Home furniture is an essential part of home decor and furnishings in living rooms of People around the world. People are so keen on decorating their living rooms with pieces of furniture and these types of furniture are similar in almost cultures. Having a Smart Home requires recognizing all pieces of furniture in the home to give homeowners more control and some features in their dream homes.

About our project:

Our goal in this project is to predict the pieces of furniture in a living room.
There are many pieces of furniture in any living rooms and they differ from one home to another. My friends and I have decided to select only ten most common exist in most living rooms such as: Sofa, Armchair, Chair, Coffee table, Lamp, Television, Television table, Carpet, Vases and Pictures

Collecting the Dataset:

Unfortunately, we did not find a ready dataset. We find photos dataset inside JSON files with different products photos. This data needs cleaning before using them. During this week, we start together collecting our dataset from different sources. Be the end of this week, our dataset is going to be ready to use. We are planning to go to the next step.