Name: Warning triangle Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

926 images

Explore Dataset

Here are a few use cases for this project:

Advanced Driver Assistance Systems: The "Warning Triangle" computer vision model can be used in car safety technology to detect warning signs, roads, and obstacles. For instance, the model can identify polygons as potential hazards like other vehicles, barricades, etc., and polygon-holes as open paths for safe navigation.
Autonomous Drone Navigation: The model can be applied to help drones identify obstacles in their flight paths like trees, buildings, or power lines (represented as polygons) and specify safe flying routes (polygon-holes).
Urban Planning and Construction: The model can be used to analyze satellite or aerial imagery for identifying areas suitable for development or mapping existing structures. Polygons could represent buildings or other constructible spaces, while polygon-holes might indicate open areas or parks.
Robotics: In a robotics context, this model could help robots understand their environment better, enabling them to navigate through complex terrains by distinguishing between obstacles (polygons) and open paths (polygon-holes).
Video Game Development: Game developers could use this model to build more realistic environments by effectively identifying and differentiating game environment elements like structures, objects, or safe pathways.

Cite This Project

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

@misc{
                            warning-triangle_dataset,
                            title = { Warning triangle Dataset },
                            type = { Open Source Dataset },
                            author = { Phantom AI },
                            howpublished = { \url{ https://universe.roboflow.com/phantom-ai/warning-triangle } },
                            url = { https://universe.roboflow.com/phantom-ai/warning-triangle },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-06-18 },
                            }