Taliver Object Detection Dataset and Pre-Trained Model by negin-allahyari

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Explore Dataset

Here are a few use cases for this project:

Automotive Manufacturing Quality Control: Taliver could be used in factories that produce cars, where it would identify different car classes on the production line. This could assist in ensuring the right parts are assembled for the correct car class or identify potential mismatches in the assembly process.
Traffic Management Systems: The model can be integrated into traffic control systems where it helps in gathering data about the frequency and type of cars passing through specific locations. This info could be used to optimize traffic lights scheduling, plan road maintenance, or analyze traffic patterns.
Used Car Marketplace: Online marketplaces dealing in used cars could use Taliver to automatically identify the class of car from uploaded photos. This could help improve the listing process and make the search function for customers more accurate and reliable.
Parking Lot Management: Taliver could be used in parking lot facilities to identify the car classes entering or exiting the property. The data could be used for pricing purposes, space management, or to beef up security measures in the premises.
Insurance Claims Processing: Insurance companies could use this model to verify claims based on types or classes of cars. The computer vision model could assess damage in collision incidents more accurately, improving the claim reviewing process while reducing fraud attempt.

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{
                            taliver_dataset,
                            title = { Taliver Dataset },
                            type = { Open Source Dataset },
                            author = { negin-allahyari },
                            howpublished = { \url{ https://universe.roboflow.com/negin-allahyari/taliver } },
                            url = { https://universe.roboflow.com/negin-allahyari/taliver },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-07 },
                            }