/Indoor-Scene-Recognition-1

This repository contains codes and project report for Indoor Scene Recognition project implemented using CNN in MATLAB.

Primary LanguageMATLAB

Indoor Scene Recognition

The project makes use of Convolutional Neural Network to detect certain Indoor Scenes from the MIT Places 365 Dataset. We used only 3 categories - Bedroom, Corridor and Kitchen for purpose of this project. We also created our custom dataset by downloading images from Google Images for testing purposes.

The repository contains 2 folders:

  1. CNN from scratch: This folder contains code for the CNN model implemented from scratch which gives accuracy of about 77.67% .

  2. Transfer Learning: This folder contains code for CNN model developed using transfer learning. Some layers of AlexNet were used for transfer learning. This gave accuracy of around 91.33% .