Panoptic image segmentation

The use of Machine Learning to perform tasks that can be automated has skyrocketed due to technological advancements and greater ease of its implementation. As a result, the application of Machine Learning to carry out everyday tasks has become increasingly commonplace, such as in autonomous driving...

Full description

Saved in:
Bibliographic Details
Main Author: Chua, Shahrin Zong Da
Other Authors: Lu Shijian
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156210
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-156210
record_format dspace
spelling sg-ntu-dr.10356-1562102022-04-14T12:33:37Z Panoptic image segmentation Chua, Shahrin Zong Da Lu Shijian School of Computer Science and Engineering Guan Dayan dayan.guan@outlook.com, Shijian.Lu@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The use of Machine Learning to perform tasks that can be automated has skyrocketed due to technological advancements and greater ease of its implementation. As a result, the application of Machine Learning to carry out everyday tasks has become increasingly commonplace, such as in autonomous driving. This project focuses on the Panoptic Image Segmentation task, an image segmentation method used for Computer Vision tasks, and aims to implement a real-time danger detection system. The model used to tackle the task will be trained and evaluated on various datasets, such as the Microsoft COCO dataset and the SUN RGB-D dataset. Bachelor of Engineering (Computer Science) 2022-04-14T12:33:37Z 2022-04-14T12:33:37Z 2022 Final Year Project (FYP) Chua, S. Z. D. (2022). Panoptic image segmentation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156210 https://hdl.handle.net/10356/156210 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Chua, Shahrin Zong Da
Panoptic image segmentation
description The use of Machine Learning to perform tasks that can be automated has skyrocketed due to technological advancements and greater ease of its implementation. As a result, the application of Machine Learning to carry out everyday tasks has become increasingly commonplace, such as in autonomous driving. This project focuses on the Panoptic Image Segmentation task, an image segmentation method used for Computer Vision tasks, and aims to implement a real-time danger detection system. The model used to tackle the task will be trained and evaluated on various datasets, such as the Microsoft COCO dataset and the SUN RGB-D dataset.
author2 Lu Shijian
author_facet Lu Shijian
Chua, Shahrin Zong Da
format Final Year Project
author Chua, Shahrin Zong Da
author_sort Chua, Shahrin Zong Da
title Panoptic image segmentation
title_short Panoptic image segmentation
title_full Panoptic image segmentation
title_fullStr Panoptic image segmentation
title_full_unstemmed Panoptic image segmentation
title_sort panoptic image segmentation
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/156210
_version_ 1731235700033978368