Đồ án tốt nghiệp - Classifying the design style of an interior object using deep learning

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MINISTRY OF EDUCATION AND TRAINING
HO CHI MINH UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY FOR HIGH-QUALITY TRAINING

PROJECT IN SOFTWARE ENGINEERING

CLASSIFYING THE DESIGN STYLE
OF AN INTERIOR OBJECT USING
DEEP LEARNING
Advisor: Ms. Mai Anh Thơ
Students:
Biện Quang Huy

HO CHI MINH CITY - 2024

19110005

CỘNG HOÀ XÃ HỘI CHỦ NGHĨA VIỆT NAM
Độc lập – Tự do – Hạnh phúc
……***……
Ho Chi Minh, Day…Month…Year 2024

SPECIALIZED ESSAY MISSION
Full name: Biện Quang Huy

Student ID: 19110005

Class: 19110CLA2

Major: Software Engineering
Instructor guide: Ms. Mai Anh Thơ
Date of project receipt: 1/3/2024

Project

submission

date:

14/6/2024
1. Project Name: Classifying the design style of an interior object using deep
learning.

2. Data, research paper: Datasets from instructor guide, research papers in Deep
Learning, CNN models from instructor and self-search.

3. Project contents:
- Building prediction model based on Interior static images using ResNet50,
VGG19, InceptionV3, Xception.
- Building an intuitive website for Interior image classification

4. Products: A website for design style of an interior object classification

2

CHAIR OF THE PROGRAM

INSTRUCTOR

3

CỘNG HOÀ XÃ HỘI CHỦ NGHĨA VIỆT NAM
Độc lập – Tự do – Hạnh phúc
……***……
Ho Chi Minh, Day…Month…Year 2024

INSTRUCTOR COMMENTARY
Full name: Biện Quang Huy

Student ID: 19110005

Class: 19110CLA2

Major: Software Engineering
Project name: Classifying the design style of an interior object using deep learning
Reviewer teacher: Ms. Mai Anh Thơ
COMMENTARY
1. Topic content and workload
 Theory
o Study and research about design style of an interior object
o Research about machine learning and deep learning: ResNet50, VGG19,
InceptionV3, Xception.
o Propose a method of applying deep learning to solve the problem of
design style of interior object classification
 Experiments
o Using YOLOV5 for object segmentation to collect a dataset of interior
objects labeling on design styles.
o Implement 04 models for classifying types of design style of interior
object: ResNet50, VGG19, InceptionV3, Xception with the accuracy of
90%.
o Build an application using the above model on a simple website.
 Links
4

o https://github.com/Hb011/capstonee
2. Advantages
 The interior object dataset can be reused.
 The models have been trained with high accuracy.
 The website is friendly and easy to use.
 Students have the capability of self-studying and active learning.
 The project can be accom
...

...
YouTube.
https://www.youtube.com/watch?v=V_O9QtVg8bY&ampfeature=youtu.be.
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9. Ramstedt, F., &amp Olofsson, M. (2020). The Interior Design Handbook: Furnish,
Decorate, and Style Your Space (Illustrated). Clarkson Potter..
10. Solawetz, J. (2022, November 21). What is YOLOv5? A Guide for Beginners.
Roboflow Blog. https://blog.roboflow.com/yolov5-improvements-and-evaluation/.
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11. Ramstedt, F., &amp Olofsson, M. (2020). The Interior Design Handbook: Furnish,
Decorate, and Style Your Space (Illustrated). Clarkson Potter.
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