Kickbike_day Computer Vision Project
Updated 4 months ago
Here are a few use cases for this project:
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Bike Part Identification App: This model could be incorporated into a mobile application that aims to educate users about different parts of a bike. Users can point their camera at a bike and the app would identify and label all visible parts.
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Theft Prevention/Detection Systems: "Kickbike_day" could be used in surveillance systems to identify stolen bikes based on unique characteristics of the bike parts. Cameras running the model could detect and notify security when a bike matching the description of a stolen one is spotted.
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Bike Shop Inventory Management: The vision model could help automate inventory management in bike stores. It can identify specific bike parts, helping in tracking and reordering stock items when they are running low.
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Augmented Reality Bike Assembly Guidance: During bike assembly, users could use an AR app that runs the 'Kickbike_day' model to identify parts and provide step-by-step visual instructions on how to assemble the bike.
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Visual Feedback for Custom Bike Designs: For bike designing software, this model could be used to accurately identify every part of the design to provide feedback on compatibility and function. Users could swap parts in real-time while the software evaluates and presents the result visually.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
kickbike_day_dataset,
title = { Kickbike_day Dataset },
type = { Open Source Dataset },
author = { Kickgoing },
howpublished = { \url{ https://universe.roboflow.com/kickgoing-kyyfo/kickbike_day } },
url = { https://universe.roboflow.com/kickgoing-kyyfo/kickbike_day },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jul },
note = { visited on 2024-11-24 },
}