Hul-E Object Detection Dataset and Pre-Trained Model by BALOLOY Franz Michael

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Explore Dataset

Here are a few use cases for this project:

Exam Supervision: The Hul-E model could be used in a digital proctoring project to prevent students from cheating during exams. Its ability to detect suspicious rotations could be used to flag potential cheating actions like looking at hidden notes or other students' papers.
Professional Certification Testing: This model could be used to oversee digital testing for professional certificates like IT or language proficiency. This can help ensure the integrity of the examination process in such scenarios.
Security Surveillance: The model could be utilized in various security applications such as monitoring high-security areas or establishments like casinos to detect deceitful actions and prevent illegal activities.
Employee Monitoring: Businesses could use the model to ensure fair practices within the work environment and to maintain integrity during remote working scenarios such as online training or meetings.
Online Gaming and E-Sports: The model could be effective in detecting cheating actions during online multiplayer games or e-sports tournaments, reinforcing fair play in the competitive gaming industry.

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{
                            hul-e_dataset,
                            title = { Hul-E Dataset },
                            type = { Open Source Dataset },
                            author = { BALOLOY Franz Michael },
                            howpublished = { \url{ https://universe.roboflow.com/baloloy-franz-michael-a9g1r/hul-e } },
                            url = { https://universe.roboflow.com/baloloy-franz-michael-a9g1r/hul-e },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-06 },
                            }