kendaraan Object Detection Dataset and Pre-Trained Model by sipalingpaling

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Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring: The "kendaraan" model can be deployed in traffic cameras to categorize trucks on the road according to their classes. By determining the type of truck in real-time, authorities will be able to manage traffic congestion more effectively.
Vehicle Inspection and Monitoring: The model could be used during inspections at toll booths or checkpoints to ensure the correct type of toll is applied based on the identified truck class.
Truck Inventory Management: Fleet operators could use this model to monitor and maintain their fleet inventory by identifying the class of their trucks, aiding in better resource allocation for maintenance and check-ups.
Automated Parking Systems: The model can be used to identify the class of the truck entering into parking areas to allocate suitable parking spaces according to the size of the vehicles.
Advanced Driver Assistance Systems (ADAS): Car manufacturers could integrate the "kendaraan" model into their car's systems to help drivers be more aware of large vehicles around them, improving the safety of car drivers.

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{
                            kendaraan-dwsis_dataset,
                            title = { kendaraan Dataset },
                            type = { Open Source Dataset },
                            author = { sipalingpaling },
                            howpublished = { \url{ https://universe.roboflow.com/sipalingpaling/kendaraan-dwsis } },
                            url = { https://universe.roboflow.com/sipalingpaling/kendaraan-dwsis },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-06-20 },
                            }