A repository to perform data collection of images using web scraping techniques to create a dataset from the IKEA website. The datatset created is then used to build a deep learning model which uses a convolutional neural network based image classifier implemented in keras to classify images into 4 categories - beds, tables, chairs and tableware.
The model successfully achieved an accuracy of about 92% on the training set and 85% on the test set.
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request 😄