model-2 Computer Vision Project
Here are a few use cases for this project:
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Automated Navigation Systems: This model can be integrated into robotic navigation systems to recognize particular gates, enabling autonomous robots to navigate through different paths marked as GateA or GateB.
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Security Systems: The model can be used in monitored security systems in facilities like airports or factories to identify gates and control access to secure areas.
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Home Robotics: This model can be used in smart homes where a home robot would require gate identification like GateA for kitchen and GateB for living room, etc.
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Games with Real-world Interaction: This model can be used in games that interact with the physical environment. For instance, a game might require a player to find a certain gate (GateA or GateB) in the real-world environment.
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Virtual Guides: In museums or tourist sites, a virtual guide app can use this model to guide users towards points of interest, labeled as GateA, GateB, and so on, based on image recognition.
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{
model-2_dataset,
title = { model-2 Dataset },
type = { Open Source Dataset },
author = { 2VCmtshAHr9C },
howpublished = { \url{ https://universe.roboflow.com/2vcmtshahr9c/model-2 } },
url = { https://universe.roboflow.com/2vcmtshahr9c/model-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-06-05 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the model-2 project in your project.