MYTEST Computer Vision Project
Here are a few use cases for this project:
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User Interface (UI) Testing: Use MYTEST to automatically identify, verify and validate UI elements of websites and applications, ensuring proper functionality, smooth interaction, and correct placements.
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Accessibility Evaluation: Utilize MYTEST's object identification capabilities to assess and improve the accessibility of digital platforms by verifying the presence of meaningful icons, descriptive labels and proper hierarchy.
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Automated Documentation Generation: Employ MYTEST to analyze screenshots of applications, extracting key interface elements for generating user manuals, tutorials or visual guides, easing the learning curve for new users.
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Design Evaluation and Comparison: Apply MYTEST to compare the consistency and adherence to design guidelines across multiple pages or applications, detecting discrepancies and elements that require further improvement or streamlining.
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Content Management System (CMS) Organization: Use MYTEST to auto-categorize and tag content, such as graphics or icons, in a CMS, improving browsing, retrieval, and search functionality for visual assets.
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{
mytest-jd3yr_dataset,
title = { MYTEST Dataset },
type = { Open Source Dataset },
author = { San Jose },
howpublished = { \url{ https://universe.roboflow.com/san-jose-43tki/mytest-jd3yr } },
url = { https://universe.roboflow.com/san-jose-43tki/mytest-jd3yr },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2024-05-01 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the MYTEST project in your project.