Alejandro Berlanga


Object Detection

Nolanville Computer Vision Project


12484 images
Explore Dataset

Here are a few use cases for this project:

  1. Railway Monitoring and Management System: The Nolanville could be used to monitor railway stations and sections of track, alerting authorities when trains approach or detecting when gates are open or closed. This can assist with improving railroad safety and operational efficiency.

  2. Traffic Management: Cities can use the Nolanville model to gather data on train traffic and infrastructure status. This can support better planning decisions and contribute to traffic congestion mitigation, particularly near railway crossings.

  3. Surveillance and Security: The model can be implemented in security cameras around and on trains, helping to detect unauthorized activities or incidents near railway tracks and gates.

  4. Augmented Reality Navigation Apps: Navigation apps may use this model to identify and provide real-time info about trains and the status of railway gates. For example, alerting drivers if the railway gate is open or closed.

  5. Train Enthusiast Applications: The model could be used in applications created for train enthusiasts, enabling them to identify different classes of trains and their movements, as well as understand real-time status of railway gates.

Cite this Project

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

@misc{ nolanville_dataset,
    title = { Nolanville Dataset },
    type = { Open Source Dataset },
    author = { Alejandro Berlanga },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-06 },

Find utilities and guides to help you start using the Nolanville project in your project.

Last Updated

13 days ago

Project Type

Object Detection




6, gate-close, gate-close-jack, gate-down-new, gate-open, gate-open-jack, gate-open-new, gate-up-new, train, train-jack, train-new

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