| Proj No. | A3236-251 |
| Title | Open Vocabulary Object Detection Using Artificial Intelligence |
| Summary | This project explores open vocabulary object detection, a new approach in AI that goes beyond the limits of traditional object detection. Instead of being restricted to a fixed list of labels, the system can understand natural language and use vision-language models to recognize and classify objects it has never explicitly seen before. The goal is to enable AI systems to recognize and label objects with greater flexibility, similar to how humans can identify and describe unfamiliar objects through context, ultimately advancing toward human-like understanding when encountering new scenarios. |
| Supervisor | A/P Yap Kim Hui (Loc:S2 > S2 B2B > S2 B2B 53, Ext: +65 67904339) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Computer Engineering II (Loc: S2-B3b-08) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |