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FYP-5 Computer Vision Project

university of Moratuwa

Updated 2 years ago

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Object Detection Model
Classes (17)
bicycle building dog
electricity post
milestone
motorbike
name board
person
post box
pothole
road lamp
sign board
stone
stone pillar
three wheeler
tree vehicle

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
MIT

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 2024-12-22 },
                            }

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