Spit Bridge Cones Object Detection Dataset and Pre-Trained Model by Yolov7

Images

2234 images

Explore Dataset

Here are a few use cases for this project:

Traffic Management Systems: The "Spit Bridge Cones" model can be used to detect cones and markers on roads or construction sites, providing real-time data for improving traffic flow and maintaining safety standards.
Drone Navigation: Drones could use this model to identify marked cones on terrain during aerial mapping or surveying, making flight navigation more accurate and reliable.
Autonomous Vehicles: This model can be employed by autonomous driving solutions to recognize and react to cones and markers on the road, improving their ability to navigate safely.
Road Maintenance Detection: Authorities and road management teams can use the model to identify cones that mark road hazards or maintenance work, providing important information for planning road repair operations.
AR Games Development: Developers of augmented reality driving- or navigation-based games could use the "Spit Bridge Cones" model to map real-world cone locations into the game environment for enhanced realism.

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{
                            spit-bridge-cones_dataset,
                            title = { Spit Bridge Cones Dataset },
                            type = { Open Source Dataset },
                            author = { Yolov7 },
                            howpublished = { \url{ https://universe.roboflow.com/yolov7-1cb06/spit-bridge-cones } },
                            url = { https://universe.roboflow.com/yolov7-1cb06/spit-bridge-cones },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-16 },
                            }