PrivateDetector Object Detection Dataset and Pre-Trained Model by eppdata

Images

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Explore Dataset

Here are a few use cases for this project:

Safe Driving Campaigns: Use PrivateDetector to analyze images and videos from traffic cameras or dashcams, identifying instances of overconfident driving behaviors (exceso_confianza) or safe driving (seguro). This data could be used to develop targeted ad campaigns, educational materials, or driver retraining courses to promote safe driving habits and reduce accidents caused by overconfidence.
Insurance Risk Assessment: PrivateDetector can be employed by insurance companies to analyze images and videos submitted by their clients during insurance claims evaluations. By identifying overconfident (exceso_confianza) or safe (seguro) driving behaviors, insurers can more accurately assess risk and adjust their policy rates accordingly.
Driver Assistance Systems: Integrate PrivateDetector into existing or new driver assistance systems in vehicles as an additional feature to detect and alert drivers about their overconfident (exceso_confianza) or safe (seguro) driving behaviors in real-time. This can help drivers become more aware of their driving habits and lead to safer roads.
Vehicle Rental Services: Car and truck rental services can use PrivateDetector to analyze images and videos captured by their rental vehicles' cameras to monitor renters' driving behaviors. Identifying overconfident (exceso_confianza) or safe (seguro) driving patterns can help rental companies manage risks, implement penalties for reckless driving, or offer incentives for good driving behavior.
Traffic Violation Enforcement: Law enforcement agencies can deploy PrivateDetector to identify traffic violation incidents involving overconfident (exceso_confianza) driving behaviors in images and videos from traffic cameras or patrol vehicles. This information can be used to supplement officer reports, increase the accuracy of traffic violation citations, and support public awareness programs to promote safe driving habits.

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{
                            privatedetector_dataset,
                            title = { PrivateDetector Dataset },
                            type = { Open Source Dataset },
                            author = { eppdata },
                            howpublished = { \url{ https://universe.roboflow.com/eppdata/privatedetector } },
                            url = { https://universe.roboflow.com/eppdata/privatedetector },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-06-08 },
                            }