TRODO Object Detection Dataset and Pre-Trained Model by Thammasat

Images

2337 images

Explore Dataset

Here are a few use cases for this project:

Vehicle Mileage Verification: The TRODO model can be leveraged by used-car dealerships, rental companies, or car auction houses to automatically verify the mileage of vehicles. The model can be used to identify the numbers on the odometer, reducing the possibility of fraud or discrepancies in mileage reporting.
Maintenance Tracker: Maintenance service providers can use this model to track and schedule maintenance checks based on odometer readings, ensuring each vehicle gets service when it's due. This could enhance automated checks in an app or service.
Insurance Claim Verification: Insurance companies can use this model to automatically validate claims related to mileage. This can help in conducting a more efficient and fair assessment process.
Law Enforcement: During traffic monitoring or investigations, law enforcement agencies can use this model to automatically read the odometer from pictures or video footage, providing additional evidence or data for their operations.
Fleet Management: Companies or organizations with vehicle fleets can use TRODO to automatically monitor and record the mileage of their various vehicles. This could enable more efficient fleet management practices by keeping track of fuel efficiency, scheduling routine maintenance, and determining vehicle usage.

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{
                            trodo_dataset,
                            title = { TRODO Dataset },
                            type = { Open Source Dataset },
                            author = { Thammasat },
                            howpublished = { \url{ https://universe.roboflow.com/thammasat-44mwt/trodo } },
                            url = { https://universe.roboflow.com/thammasat-44mwt/trodo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-28 },
                            }