UAV2023 Computer Vision Project
Here are a few use cases for this project:
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Educational Products: "UAV2023" can be integrated into educational technologies or tools used for teaching geometry especially to children. This would allow students to draw shapes, and the tool can tell them what they've drawn, providing instant feedback and reinforcement of the learning materials.
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Quality Control in Manufacturing: The system can be employed on the production lines to identify and classify products according to their shapes, ensuring that only correctly shaped items pass through for packaging, thereby reducing defects.
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Safety Systems: In safety and surveillance systems, the model could be trained to identify unusual or prohibited shapes or items in secure areas, thereby triggering alarms if necessary.
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Robotics: The model could be used in robot navigation systems allowing robots to better interpret their surroundings by identifying various object shapes in its environment.
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Image Editing Software: Integration of the model into image editing software to allow for automatic identification and selection of geometrical shapes within photographs or digital art pieces. This would ease the process of editing specific shape-based areas.
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{
uav2023_dataset,
title = { UAV2023 Dataset },
type = { Open Source Dataset },
author = { RobEnAI },
howpublished = { \url{ https://universe.roboflow.com/robenai/uav2023 } },
url = { https://universe.roboflow.com/robenai/uav2023 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-06-21 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the UAV2023 project in your project.
