cnr-dataset_nan Instance Segmentation Dataset and Pre-Trained Model by Parking

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Explore Dataset

Here are a few use cases for this project:

Automated Parking Systems: This model can be utilized in automated parking systems to correctly identify and segregate cars from other vehicles onboard, improving the efficiency of space allocation and management.
Traffic Flow Analysis: The model can be used to monitor real-time traffic, measure vehicle density, differentiating cars from other vehicles, and thus contribute to advanced traffic management systems.
Security Surveillance: In public areas like shopping malls or airports, the model can be used to differentiate between cars and other vehicle types, aiding in the detection of unauthorized or suspicious vehicles.
Autonomous Vehicles: This model can be incorporated in the self-driving car systems to help them distinguish between cars and other vehicles, improving their driving decisions and safety.
Vehicle-Related Research: Researchers studying vehicle patterns, trends, and behaviors can use this model to specifically isolate data about cars from other vehicle types. The model will help them in filtering a more accurate dataset.

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{ cnr-dataset_nan-luvmg_dataset,
    title = { cnr-dataset_nan Dataset },
    type = { Open Source Dataset },
    author = { Parking },
    howpublished = { \url{ https://universe.roboflow.com/parking-gvjqh/cnr-dataset_nan-luvmg } },
    url = { https://universe.roboflow.com/parking-gvjqh/cnr-dataset_nan-luvmg },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { jul },
    note = { visited on 2023-12-10 },
}