Day_Afternoon_MidEvening Object Detection Dataset and Pre-Trained Model by ITS Traffic Data

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Explore Dataset

Here are a few use cases for this project:

Traffic Management: This model can be employed in real-time traffic monitoring and management systems. It can identify different types of vehicles to provide valuable insights on vehicular distribution and congestion for traffic control initiatives.
Urban Planning: Urban planners can use this model to analyze traffic patterns and vehicle usage in different parts of the city. They can understand transport preference, identify congestion hotspots, and design road infrastructure accordingly.
Transportation Research: Researchers analyzing transportation trends, vehicle popularity, and cultural use of various transportation types could use this model to automatically gather data from photos or video feeds.
Automotive Industry: Car and vehicle manufacturers can use the collected data to understand the popularity and usage of their own vehicles versus their competitors in real-world scenarios, which might be valuable in shaping their marketing strategies and product development.
Surveillance and Security: Surveillance systems can use this model to identify specific vehicles classes in their feeds. For instance, it could be used to flag suspicious heavy vehicle activity in unauthorized zones for law enforcement response.

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{ day_afternoon_midevening_dataset,
    title = { Day_Afternoon_MidEvening Dataset },
    type = { Open Source Dataset },
    author = { ITS Traffic Data },
    howpublished = { \url{ https://universe.roboflow.com/its-traffic-data/day_afternoon_midevening } },
    url = { https://universe.roboflow.com/its-traffic-data/day_afternoon_midevening },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { aug },
    note = { visited on 2023-09-30 },
}