capstone_1 Object Detection Dataset and Pre-Trained Model by project-gxxxr

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Explore Dataset

Here are a few use cases for this project:

Traffic Flow Monitoring: The "capstone_1" model can be utilized to observe traffic flow on highways and streets, identifying different classes of cars and light vehicles. This can allow for better traffic management and planning.
Advanced Driver-Assistance Systems (ADAS): The model can be used to improve detection capabilities in ADAS by identifying different types of cars and light vehicles on the road, enhancing real-time decision-making capabilities and potentially improving safety.
Vehicle Damage Assessment: Insurance companies can use it to identify and assess damage to different types of vehicles after accidents, helping to streamline claims processing.
Smart Parking Solutions: The model can be used in smart parking systems to recognize car classes and hence organize parking space allocations effectively based on different classes of vehicles.
Law Enforcement: Police and other law enforcement agencies could use this model to identify certain types of vehicles involved in criminal activities or to enforce specific traffic rules for different types of vehicles.

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{
                            capstone_1-x248a_dataset,
                            title = { capstone_1 Dataset },
                            type = { Open Source Dataset },
                            author = { project-gxxxr },
                            howpublished = { \url{ https://universe.roboflow.com/project-gxxxr/capstone_1-x248a } },
                            url = { https://universe.roboflow.com/project-gxxxr/capstone_1-x248a },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-25 },
                            }