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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156210 |
| _version_ | 1826111731184697344 |
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| author | Chua, Shahrin Zong Da |
| author2 | Lu Shijian |
| author_facet | Lu Shijian Chua, Shahrin Zong Da |
| author_sort | Chua, Shahrin Zong Da |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T02:55:36Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/156210 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:55:36Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Chua, Shahrin Zong Da Panoptic image segmentation |
| title | Panoptic image segmentation |
| title_full | Panoptic image segmentation |
| title_fullStr | Panoptic image segmentation |
| title_full_unstemmed | Panoptic image segmentation |
| title_short | Panoptic image segmentation |
| title_sort | panoptic image segmentation |
| topic | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
| url | https://hdl.handle.net/10356/156210 |
| work_keys_str_mv | AT chuashahrinzongda panopticimagesegmentation |