school

Yolov5

Object Detection

2

Yolov5 Computer Vision Project

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Images

1082 images
Explore Dataset

Here are a few use cases for this project:

  1. Webpage Analysis and Optimization: This model could be deployed to analyze numerous online websites and applications, identifying patterns, inconsistencies or inefficiencies in UI/UX design. This analysis could be used to suggest improvements or to automate the web design process.

  2. Accessibility Testing: Yolov5 could be leveraged to evaluate the accessibility of a website, checking whether all forms and controls are properly labeled and navigable, contributing to more accessible digital experiences for users with varying abilities.

  3. Automation of Manual Testing: Software testing teams could use this model to automate their testing processes. It can help identify elements like checkboxes, button, labels, etc, on the software (web or mobile) interface and streamline their manual testing process.

  4. Cybersecurity: The Yolov5 model could be used to detect an unusual placement or number of touchpoints on a page, helping to identify phishing or spoofing attempts where the user interface is manipulated to mislead users.

  5. Educational Training Tools: Such a model can be used by educational institutions for teaching students about webpage design and building. It can identify and categorize webpage elements, helping students understand how to effectively build and structure their own web applications.

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{
                            yolov5-mygnz_dataset,
                            title = { Yolov5 Dataset },
                            type = { Open Source Dataset },
                            author = { school },
                            howpublished = { \url{ https://universe.roboflow.com/school-dsext/yolov5-mygnz } },
                            url = { https://universe.roboflow.com/school-dsext/yolov5-mygnz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-15 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Yolov5 project in your project.

Source

school

Last Updated

a year ago

Project Type

Object Detection

Subject

input-textfield-button-checkbox

Views: 570

Views in previous 30 days: 8

Downloads: 38

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

button checkbox input-textfield label select upload
r
CEI
r
168 images
web_controls2
566 images
drp_txt11
362 images
drp_txt_btn8
354 images
drp_txt_btn_lbl1
354 images