FYP-5 Object Detection Dataset and Pre-Trained Model by university of Moratuwa

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Explore Dataset

Here are a few use cases for this project:

Off-Road Navigation Systems: FYP-5 could be used to enhance the safety and reliability of off-road autonomous navigation systems. These systems could utilize the model to identify common obstacles in the environment and adjust their path accordingly to avoid collisions.
Advanced Driver-Assistance Systems (ADAS): This model could help in augmenting ADAS to provide improved off-road driving safety. It can identify obstacles such as potholes, stones, and other hurdles, offering real-time alerts to drivers for their caution which will prevent accidents.
Outdoor Robot Navigation: In hilly or remote areas, robots could use FYP-5 to navigate safely by identifying and avoiding obstacles commonly present in off-road environments.
Augmented Reality (AR) Gaming: AR games could use the model to include real-world obstacles in the game environment. For instance, in a racing game, obstacles identified in the real world like trees or potholes could be included as barriers in the game.
Road Maintenance and Monitoring: Government or urban management agencies could use data from FYP-5 to identify road damages such as potholes or broken milestones, which need repairing or servicing, making road maintenance tasks much more efficient.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            fyp-5_dataset,
                            title = { FYP-5 Dataset },
                            type = { Open Source Dataset },
                            author = { university of Moratuwa },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-moratuwa-kdzps/fyp-5 } },
                            url = { https://universe.roboflow.com/university-of-moratuwa-kdzps/fyp-5 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-07-27 },
                            }