Urban Object detection

Object Detection

Roboflow Universe KMIT Urban Object detection

Urban Object detection Computer Vision Project

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Here are a few use cases for this project:

  1. Urban Planning and Development: This computer vision model can assist city planners and architects in identifying the distribution of different objects in urban areas, enabling them to make informed decisions regarding new constructions, allocating green spaces, and designing infrastructure improvements such as road and transportation networks.

  2. Damage Assessment in Natural Disasters: By analyzing aerial imagery before and after natural disasters such as hurricanes or earthquakes, the model can quickly identify affected areas and quantify damage to buildings, trees, and infrastructure, helping authorities prioritize resources, assess the need for reconstruction, and plan for recovery efforts.

  3. Environmental and Green Initiatives: Urban object detection can be used by environmental organizations and governments to monitor and manage green spaces and tree coverage in cities. They can use the model to identify areas where additional trees or vegetation should be planted, evaluate the effectiveness of tree planting campaigns, and plan for sustainable urbanization.

  4. Traffic Management and Infrastructure Maintenance: By identifying and analyzing roads, traffic lights, and other vital infrastructure elements, the model can be useful in developing traffic management strategies, monitoring congestion, and identifying potential issues in the urban infrastructure that require maintenance or repair.

  5. Emergency Services and Crisis Response: Using the urban object detection model, emergency services can access real-time information about the layout of urban areas, helping them determine the best routes and strategies for responding to emergencies such as fires, accidents, or medical incidents. This information can also be valuable for urban search and rescue operations during disaster situations.

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{ urban-object-detection_dataset,
    title = { Urban Object detection Dataset },
    type = { Open Source Dataset },
    author = { KMIT },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-12-11 },

Find utilities and guides to help you start using the Urban Object detection project in your project.



Last Updated

9 months ago

Project Type

Object Detection




Road, Trees, buildings, tree

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CC BY 4.0