carla_0_1 Object Detection Dataset and Pre-Trained Model by carla0

Images

10000 images

Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring and Management: carla_0_1 can be used to analyze live video feeds from traffic cameras, detecting vehicles and helping authorities manage traffic flow, identify congestions, and optimize traffic signal timings.
Parking Space Management: The model can be integrated into smart parking systems, detecting and tracking available spaces in parking lots and guiding drivers to find empty spots efficiently.
Vehicle-based Safety Systems: carla_0_1 can be embedded into advanced driver assistance systems (ADAS) in vehicles, identifying other cars on the road and assisting drivers in avoiding collisions or maintaining a safe distance.
Vehicle Counting for Urban Planning: Authorities and planners can use carla_0_1 to conduct surveys on vehicle volume in specific areas or streets, gathering data for future infrastructure planning and public transportation improvements.
Traffic Pattern Analysis for Intelligent Transportation System (ITS): By analyzing yolov5_classes-labelled video feeds, carla_0_1 can help transportation authorities identify and study traffic patterns, analyzing trends and providing insights for implementing smarter transportation solutions.

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{
                            carla_0_1_dataset,
                            title = { carla_0_1 Dataset },
                            type = { Open Source Dataset },
                            author = { carla0 },
                            howpublished = { \url{ https://universe.roboflow.com/carla0/carla_0_1 } },
                            url = { https://universe.roboflow.com/carla0/carla_0_1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }