Clothing Classification using Deep Learning

Clothing Classification using Deep Learning

Ch. Nihanth, Ch. Jeevan Santosh , Ch. Jayashree, Ch. Hemasree , Prof.Dr. Gifta Jerith

Malla Reddy University

Hyderabad

ABSTRACT- Clothing Classification is the way we present ourselves which mainly focuses on vision, has attracted great interest from computer vision researchers. It is generally used to classify clothes as per the formal attire of a particular professional worker. Clothing classification has a huge application when it comes to be used with dress code surveillance. In this project we make use of deep learning (DL) and machine learning (ML) methods to correctly identify and categorize clothing images. Deep learning gives more insights than machine learning models. For better training, we make use of Convolutional neural networks. Clothing Classification uses dataset from keras i.e., a Deep learning library. The dataset is then trained and evaluated as per the parameters of CNN. A CNN model is then evaluated on a test set, achieving decent accuracy, and classifying clothes as per the requirement. Cloth Classification can be used as meta information in many applications. Dress code Surveillance makes use of Clothing Classification as meta information for its working. Classification of images has further augmented in the field of computer vision with the dawn of transfer learning. To train a model on huge dataset demands huge computational resources and add a lot of cost

to learning. There are several pretrained models like VGG16, VGG19, Deep learning, CNN, etc. which are widely use.