Segment anything: real-time AI model interaction and visualization
This Final Year Project focuses on the design and development of a segmentation AI service that offers users an intuitive interface for real-time mask prediction and selection. This service utilizes the cutting-edge Segment Anything Model(SAM) from the Meta AI research team, finally integrated into...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175023 |
| _version_ | 1824456188188688384 |
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| author | Wang, Jingwei |
| author2 | Chen Change Loy |
| author_facet | Chen Change Loy Wang, Jingwei |
| author_sort | Wang, Jingwei |
| collection | NTU |
| description | This Final Year Project focuses on the design and development of a segmentation AI service that offers users an intuitive interface for real-time mask prediction and selection. This service utilizes the cutting-edge Segment Anything Model(SAM) from the Meta AI research team, finally integrated into Image-Pro, a platform developed by research engineers at S-lab. This paper begins with an introduction to SAM, highlighting its applicability in web development. It then progresses through the software development lifecycle, including stages of requirements analysis, system design, and implementation. |
| first_indexed | 2025-02-19T03:50:08Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175023 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:50:08Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1750232024-04-19T15:46:18Z Segment anything: real-time AI model interaction and visualization Wang, Jingwei Chen Change Loy School of Computer Science and Engineering ccloy@ntu.edu.sg Computer and Information Science Segmentation Web development This Final Year Project focuses on the design and development of a segmentation AI service that offers users an intuitive interface for real-time mask prediction and selection. This service utilizes the cutting-edge Segment Anything Model(SAM) from the Meta AI research team, finally integrated into Image-Pro, a platform developed by research engineers at S-lab. This paper begins with an introduction to SAM, highlighting its applicability in web development. It then progresses through the software development lifecycle, including stages of requirements analysis, system design, and implementation. Bachelor's degree 2024-04-18T08:33:08Z 2024-04-18T08:33:08Z 2024 Final Year Project (FYP) Wang, J. (2024). Segment anything: real-time AI model interaction and visualization. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175023 https://hdl.handle.net/10356/175023 en SCSE23-0479 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Segmentation Web development Wang, Jingwei Segment anything: real-time AI model interaction and visualization |
| title | Segment anything: real-time AI model interaction and visualization |
| title_full | Segment anything: real-time AI model interaction and visualization |
| title_fullStr | Segment anything: real-time AI model interaction and visualization |
| title_full_unstemmed | Segment anything: real-time AI model interaction and visualization |
| title_short | Segment anything: real-time AI model interaction and visualization |
| title_sort | segment anything real time ai model interaction and visualization |
| topic | Computer and Information Science Segmentation Web development |
| url | https://hdl.handle.net/10356/175023 |
| work_keys_str_mv | AT wangjingwei segmentanythingrealtimeaimodelinteractionandvisualization |