Towards Multi-Camera System for the Evaluation of Motorcycle Driving Test Object Detection Dataset and Pre-Trained Model by CNR

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Explore Dataset

Here are a few use cases for this project:

Driving Test Evaluation: This computer vision model can be used to automate the evaluation process of motorcycle driving tests. It can precisely monitor and rate the performance of test-takers based on their maneuvering around traffic cones and their interaction with the pilot and other persons.
Driver Training Systems: Driving schools could use this system for creating more effective simulation-based training modules. The model can provide real-time feedback to learners, enabling them to learn and correct their riding skills immediately.
Accident Analysis: The system can be used to analyze motorcycle accidents. In an event of an accident, it can identify key elements, like traffic cones and participants, and reconstruct the sequence of events to help understand the causes of the accident.
Automated Traffic Management: This model could be used in intelligent traffic control systems for monitoring and managing traffic flow. It could identify traffic congestion or irregularities by detecting the presence and movement of motorcycles, traffic-cones, and individuals.
Safety Equipment Testing: Manufacturers of safety equipment like traffic cones or motorcycle gear might use this system to test and improve their products under realistic conditions by tracking how they are recognized and interacted with in different scenarios.

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{
                            towards-multi-camera-system-for-the-evaluation-of-motorcycle-driving-test_dataset,
                            title = { Towards Multi-Camera System for the Evaluation of Motorcycle Driving Test Dataset },
                            type = { Open Source Dataset },
                            author = { CNR },
                            howpublished = { \url{ https://universe.roboflow.com/cnr-vdynp/towards-multi-camera-system-for-the-evaluation-of-motorcycle-driving-test } },
                            url = { https://universe.roboflow.com/cnr-vdynp/towards-multi-camera-system-for-the-evaluation-of-motorcycle-driving-test },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-20 },
                            }

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Towards Multi-Camera System for the Evaluation of Motorcycle Driving Test project in your project.