Clothing recognition using deep learning techniques | |
| Author | Roy, Muddam Akshay |
| Call Number | AIT Thesis no.ISE-19-39 |
| Subject(s) | Deep learning (Machine learning) Neural networks (Computer science) Machine learning |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Microelectronics and Embedded Systems, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | |
| Abstract | Nowadays, machine learning has found a wide range of applications in many fields. Deep learning techniques especially Convolutional Neural Networks are most commonly applied to analyzing visual imagery. Face recognition, image recognition, object recognition etc., are the major applications of the CNN. As the use of machine learning is increasing rapidly around the world in many industries, the fashion industry is also adapting this advancement. The proposed model describes the development of a computer vision system for detection and classification of clothes for e-commerce images. Yolo v3 and Residual Networks are the architectures used in this work for detection and classification respectively. We are using a part of DeepFashion dataset, which contains box annotations for locations of clothes, and manually collected data for training and testing the clothes detection network and classification network. The proposed models detect the clothes using bounding boxes and further classifies the color of the detected clothing. The experimental results indicate that the proposed CNN architectures are efficient and most successful network configurations for clothes detection and classification. |
| Year | 2019 |
| Corresponding Series Added Entry | |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Industrial Systems Engineering (DISE) |
| Academic Program/FoS | Industrial Systems Engineering (ISE) |
| Chairperson(s) | Mongkol Ekpanyapong; |
| Examination Committee(s) | Dailey, Matthew N. ;Manukid Parnichkun; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Thesis (M. Eng.) -- Asian Insitute of Technology, 2019 |