Name: Nopol Dataset
License: https://creativecommons.org/publicdomain/zero/1.0/

Images

2066 images

Explore Dataset

Here are a few use cases for this project:

Parking Management: The Nopol computer vision model can be used to identify the type of vehicles entering and exiting public or private parking facilities. It can help automate ticket issuance based on vehicle categories and improve the management of space allocation within the premises.
Traffic Surveillance: Governmental agencies can use this model to monitor and control city or highway traffic. It can help in identifying different classes of vehicles to analyze traffic flows, detect violations, or aid in accident investigations.
Fleet Management: Logistics and supply chain companies can use the Nopol model to identify and track different classes of vehicles in their fleet, optimizing operations and enhancing productivity.
Automobile Industry: Companies in the automotive industry can use the model to automatically categorize and archive photos of various vehicle models, facilitating quicker search and retrieval of specific vehicle classes for research and development purpose.
Insurance Claims: The model can be used by insurance firms to automatically classify vehicles involved in accidents. This can streamline the process of claim handling and fraud detection by quickly identifying mismatch between the claimed and actual vehicle classes.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            nopol_dataset,
                            title = { Nopol Dataset },
                            type = { Open Source Dataset },
                            author = { Nopol },
                            howpublished = { \url{ https://universe.roboflow.com/nopol/nopol } },
                            url = { https://universe.roboflow.com/nopol/nopol },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-20 },
                            }