Text localisation from natural scenes
This project aimed to create an open-sourced application that mass-translates natural scene images. The application consists of three main components: 1) Integration of open-source initiative, EasyOCR, for text detection, 2) Utilisation of cutting-edge language translation models, with a focus on th...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/175335 |
| _version_ | 1826120619007148032 |
|---|---|
| author | Ng, Alphaeus Yue Jie |
| author2 | Loke Yuan Ren |
| author_facet | Loke Yuan Ren Ng, Alphaeus Yue Jie |
| author_sort | Ng, Alphaeus Yue Jie |
| collection | NTU |
| description | This project aimed to create an open-sourced application that mass-translates natural scene images. The application consists of three main components: 1) Integration of open-source initiative, EasyOCR, for text detection, 2) Utilisation of cutting-edge language translation models, with a focus on the capabilities provided by OpenAI’s models, 3) A single-page application built on Flask and the React framework for accessibility and a user-friendly experience. By integrating these technologies, the project hopes to significantly advance the seamless and efficient localisation and translation of text, contributing to the larger landscape of natural language processing advancements.
In addition to these solutions, the report carefully examines the rationale behind the components contributing to the overall system architecture. |
| first_indexed | 2024-10-01T05:19:23Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175335 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:19:23Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1753352024-04-26T15:44:39Z Text localisation from natural scenes Ng, Alphaeus Yue Jie Loke Yuan Ren School of Computer Science and Engineering yrloke@ntu.edu.sg Computer and Information Science Text localisation Language translation Single-page-application React Flask This project aimed to create an open-sourced application that mass-translates natural scene images. The application consists of three main components: 1) Integration of open-source initiative, EasyOCR, for text detection, 2) Utilisation of cutting-edge language translation models, with a focus on the capabilities provided by OpenAI’s models, 3) A single-page application built on Flask and the React framework for accessibility and a user-friendly experience. By integrating these technologies, the project hopes to significantly advance the seamless and efficient localisation and translation of text, contributing to the larger landscape of natural language processing advancements. In addition to these solutions, the report carefully examines the rationale behind the components contributing to the overall system architecture. Bachelor's degree 2024-04-23T11:44:30Z 2024-04-23T11:44:30Z 2024 Final Year Project (FYP) Ng, A. Y. J. (2024). Text localisation from natural scenes. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175335 https://hdl.handle.net/10356/175335 en SCSE23-0569 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Text localisation Language translation Single-page-application React Flask Ng, Alphaeus Yue Jie Text localisation from natural scenes |
| title | Text localisation from natural scenes |
| title_full | Text localisation from natural scenes |
| title_fullStr | Text localisation from natural scenes |
| title_full_unstemmed | Text localisation from natural scenes |
| title_short | Text localisation from natural scenes |
| title_sort | text localisation from natural scenes |
| topic | Computer and Information Science Text localisation Language translation Single-page-application React Flask |
| url | https://hdl.handle.net/10356/175335 |
| work_keys_str_mv | AT ngalphaeusyuejie textlocalisationfromnaturalscenes |