├── Capstone-2 Project proposal.pdf ├── Fashion-MNIST Final Report.pdf ├── Fashion-Mnist Presentation.pdf ├── Fashion-Mnist Presentation.pptx ├── Fashion MNIST Milestone Report.pdf └── README.md /Capstone-2 Project proposal.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dinsunny93/Clothing-Classification-using-Deep-Learning/HEAD/Capstone-2 Project proposal.pdf -------------------------------------------------------------------------------- /Fashion-MNIST Final Report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dinsunny93/Clothing-Classification-using-Deep-Learning/HEAD/Fashion-MNIST Final Report.pdf -------------------------------------------------------------------------------- /Fashion-Mnist Presentation.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dinsunny93/Clothing-Classification-using-Deep-Learning/HEAD/Fashion-Mnist Presentation.pdf -------------------------------------------------------------------------------- /Fashion-Mnist Presentation.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dinsunny93/Clothing-Classification-using-Deep-Learning/HEAD/Fashion-Mnist Presentation.pptx -------------------------------------------------------------------------------- /Fashion MNIST Milestone Report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/dinsunny93/Clothing-Classification-using-Deep-Learning/HEAD/Fashion MNIST Milestone Report.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Image Classification on Fashion-MNIST 2 | 3 | **Objective:** To classify images of different pieces of clothing. 4 | 5 | **Client & Data-Set:** Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. 6 | 7 | Data-set is publicly available on [kaggle](https://www.kaggle.com/zalando-research/fashionmnist) and [Zalando Fashion MNIST repository ](https://github.com/zalandoresearch/fashion-mnist) on Github. 8 | 9 | **Business Impact:** E-commerce companies have lots of items for sale online which requires lots of images to be displayed on their websites, applications and on social media. And it takes lot of human power and time to separate these images into respective groups. This classifier which we are going to build helps businesses to categorize images into respective groups. 10 | 11 | **Methodology:** For this project we will be going to use deep learning concepts like artificial neural networks and convolutional neural networks to build an image classification model which will learn to distinguish 10 different item images into their respective categories. 12 | 13 | **Tools & Skills:** AWS, Python - Keras, Tensorflow, Convolutional Neural Networks. 14 | 15 | For more detailed analysis please look into the report and python notebook. 16 | 17 | --------------------------------------------------------------------------------