Dae-Star2 Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Content Moderation: The Dae-Star2 model could be used in social media, e-commerce, or other online platforms to moderate user-uploaded images, ensuring that they do not contain any prohibited items such as pets, knives, tools, or lighters.
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Customs and Border Protection: This model could be used in imaging technology at airports or border crossings to automatically flag baggage or cargo images containing potential prohibited items, increasing efficiency and security measures.
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Safety Enforcements in Public Spaces: The model could be integrated with surveillance systems in public spaces, such as parks, schools, or shopping malls, to detect prohibited items and alert authorities for necessary action.
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Quality Control in Manufacturing: Companies involved in manufacturing could use this model to monitor their assembly lines, identifying any misplaced tools or prohibited items that might compromise the safety or quality of the product.
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Children's Online Safety: The model could be employed by children's apps or websites to pre-moderate image uploads and ensure that no inappropriate or potentially harmful objects appear in any user-generated content.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dae-star2_dataset,
title = { Dae-Star2 Dataset },
type = { Open Source Dataset },
author = { new-workspace-30ek0 },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-30ek0/dae-star2 } },
url = { https://universe.roboflow.com/new-workspace-30ek0/dae-star2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { oct },
note = { visited on 2024-12-18 },
}