Real-time object detection with Grounding Dino
Projects developed by Student Research Assistants of Innovation Wing
Supervisor: Dr. L. YANG (Innovation Academy, Faculty of Engineering, HKU)
Project information
Project descriptions
Grounding Dino is an innovative computer vision library designed to enhance object detection and scene understanding through advanced grounding techniques. It combines computer vision and natural language processing techniques to integrate contextual understanding in machine learning models, improving their accuracy and efficiency in real-world applications. We will showcase some of the strengths and weaknesses of this very powerful tool during this incoming Inno Show!
Project innovation
More robust, real-time object detection
Achievements
Team information
Project leader: Jose AlbertoI ESPINO PITTI, BEng(CE)
Team member(s): Syed Nafis ISHRAK, BEng(CE); Phurtivilai PATT, BEng(CompSc); ZHOU ZiHan Rachel, BEng(CompSc)
Project poster
Project video
Awards
Winner of the Inno Show Award @ The 6th Inno Show
This project team was selected for the Inno Show award at the 6th Inno Show.
This team has received HK$20,000 sponsorship to participate in international design competition(s) and consumables expenses to support further development of the project.
The best project award - COMP3329 Computer Game Design and Programming @ The 1st Engineering InnoShow
This project team was selected for the best project award – COMP3329 Computer Game Design and Programming at the 1st Engineering InnoShow.
