krvehicle Object Detection Dataset and Pre-Trained Model by Labo

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Explore Dataset

Here are a few use cases for this project:

Car dealerships and inventory management: Dealerships can utilize the "krvehicle" model to automatically recognize and categorize different car classes in their inventory. This allows for better organization and easy retrieval of specific car models for potential customers, improving the overall sales process.
Traffic analysis and urban planning: Government agencies and urban planners can employ the model to analyze car classes present in specific areas. Identifying the various car classes in the area can help understand the types of vehicles dominating the streets, informing decisions about parking zones development, infrastructure updates, and public transportation improvements.
Insurance claims and accident analysis: Insurance companies can use the "krvehicle" model to streamline the claims process by quickly identifying the car class involved in the accident. This helps in speeding up the damage assessment process and estimating repair costs, resulting in a more efficient claims handling experience for customers.
Online car marketplace: Websites that facilitate buying and selling of cars can implement the "krvehicle" model to allow users to easily upload photos of their vehicles without manually inputting the car class information. The model will identify and categorize the car class, making the listing process faster and more user-friendly.
Market research and analytics: Auto manufacturers, researchers, and marketers can leverage the model to study the prevalence of specific car classes in a region. This information can guide marketing strategies, new product development, and pricing decisions based on regional preferences and market trends.

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{ krvehicle_dataset,
    title = { krvehicle Dataset },
    type = { Open Source Dataset },
    author = { Labo },
    howpublished = { \url{ https://universe.roboflow.com/labo/krvehicle } },
    url = { https://universe.roboflow.com/labo/krvehicle },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { apr },
    note = { visited on 2023-12-10 },
}