Barcelona Streets

Instance Segmentation

Barcelona Streets Computer Vision Project

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Here are a few use cases for this project:

  1. Urban Planning Enhancement: The model can be used by city planners to identify and map pedestrian obstacles for urban design purposes, assessing sidewalk quality, and improving pedestrian routes.

  2. Assistive Technologies for Visually Impaired: By integrating with assistive apps or tools, the model can help people with visual impairments navigate the city streets by detecting potential challenges such as stairs, curbs, and holes on their path.

  3. Autonomous Vehicles Navigation: Autonomous or semi-autonomous vehicles, including robots or drones, can use this model to operate more safely and effectively in urban environments, detecting and avoiding obstacles on the road.

  4. Urban Maintenance Monitoring: It can be used by city maintenance departments to automate detection of pavement defects such as holes or damaged curbs for timely repair, which can also enhance public safety.

  5. Fitness and Health Apps' Development: Developers can utilize the model in creating apps which plan running or cycling routes excluding certain obstacles, providing a smoother and safer experience for city-based exercisers.

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{ barcelona-streets_dataset,
    title = { Barcelona Streets Dataset },
    type = { Open Source Dataset },
    author = { BielGlasses },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { dec },
    note = { visited on 2023-12-09 },

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



Last Updated

4 days ago

Project Type

Instance Segmentation




Curb, Floor, Ground, Hole, Road, Sidewalk, Stairs

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CC BY 4.0