yhwl Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
-
Intelligent Advertising Analysis: This model could be used to analyze the effectiveness of different logos and text in advertisements. For instance, it could identify which logos or text types catch the attention of users more effectively in digital advertising environments.
-
Trademark and Copyright Enforcement: The yhwl model could assist in identifying instances of logo or trademark infringement, by spotting unauthorized uses of copyrighted logos and texts across the internet or television media.
-
Augmented Reality Applications: Integrated into augmented reality apps, the model could provide users with additional information or interactive content when they point their device's camera at specific logos or texts.
-
Content Classification and Tagging: yhwl could be used for auto-tagging of images on eCommerce websites, social media platforms or stock photo libraries, facilitating faster and more efficient search and retrieval of images based on logo or text content within the image.
-
Educational Applications: This model could be used in learning applications to help children or language learners identify and learn different types of texts and logos, thereby interactive education.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
yhwl-l2vpb_dataset,
title = { yhwl Dataset },
type = { Open Source Dataset },
author = { xiawei },
howpublished = { \url{ https://universe.roboflow.com/xiawei/yhwl-l2vpb } },
url = { https://universe.roboflow.com/xiawei/yhwl-l2vpb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2021 },
month = { nov },
note = { visited on 2024-12-31 },
}