yuhan Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Brand Identity Verification: The "yuhan" computer vision model can help verify brand logos or trademarks in different platforms and mediums. For example: automatic recognition and tracking of brand logos in social media images or videos to measure brand visibility and recognition.
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Advertising Analysis: By identifying "hello" text and logos, the model can analyze the effectiveness and reach of particular advertising campaigns. It can track where and how frequently specific logos or messages appear across various media channels.
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Text and Logo Recognition in Augmented Reality (AR): "yuhan" can find applications in AR by recognizing and interacting with real-world logos and text. It could be used to overlay AR experiences or information when a certain logo or the "hello" message is detected.
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Piracy and Counterfeit Detection: By identifying specific textual and logo aspects of products, "yuhan" can help in distinguishing fake or counterfeit items from original ones. It can help businesses protect their brand and customers by quickly identifying fraudulent products.
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Accessibility Improvements: By recognizing text and logos, this model could be used to create more accessible digital content for people with vision impairments. Descriptions of visuals such as logos and "hello" text could be read out loud, enhancing their experience and understanding of the 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{
yuhan_dataset,
title = { yuhan Dataset },
type = { Open Source Dataset },
author = { 570982562@qq.com },
howpublished = { \url{ https://universe.roboflow.com/570982562-qq-com/yuhan } },
url = { https://universe.roboflow.com/570982562-qq-com/yuhan },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2024-12-22 },
}