Object Detection

jumpstart Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Urban and Rural Planning: Using images of different environments, planners can identify existing structures like buildings, sculptures or signboards, and natural environments, such as mountains and oceans. It will also help in the analysis of different structures in both urban and rural settings.

  2. Tourist Navigation: The model can help in the enhancement of tourist applications, identifying key features such as murals, signboards, buildings, and landmarks in real-time.

  3. Digital Archiving: It can be used to digitally archive and categorize images in museums or art collections by recognizing murals, sculptures, etc., helping in efficient cataloging and easy retrieval of images.

  4. Environmental Research: The model can assist researchers in identifying and monitoring changes in geographic features such as oceans and mountains over time in various satellite images.

  5. Restaurant Menus Detection: The model can detect menus in various pictures or in real-time for use in applications that need to find restaurants or extract dishes and prices from different places.

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{ jumpstart_dataset,
    title = { jumpstart Dataset },
    type = { Open Source Dataset },
    author = { challenge },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { feb },
    note = { visited on 2023-12-11 },

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



Last Updated

10 months ago

Project Type

Object Detection




buliding, flat, menu, milestone, mountain, mural, ocean, pants, sculpture, signboard

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CC BY 4.0

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