Eyes_Detector Computer Vision Project

Emotiontest

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Description

Here are a few use cases for this project:

  1. Healthcare Applications: The Eyes_Detector model can be used in healthcare settings to identify various eye conditions. By screening images of patient's eyes, early signs of diseases like glaucoma, cataracts, or diabetic retinopathy could be potentially detected.

  2. Biometric Identification: The Eyes_Detector could be integrated within biometric identification systems to provide an additional layer of security utilizing iris and retina recognition technologies.

  3. Eye Tracking Research: The model can be used for eye tracking analysis in fields like psychology or marketing. It can help to understand where a user is looking, thus determining their attention span or focus area.

  4. Augmented Reality Applications: The Eyes_Detector could be utilized in AR systems to accurately project images based on where the user's gaze is focused, improving user experience.

  5. Assistive Technology: This model could be applied in development of assistive technology, especially for people with disabilities. For instance, it can be used to build systems that allow persons with physical disabilities to control computer cursors or wheelchair movements using their eyes.

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Cite This Project

LICENSE
Public Domain

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            eyes_detector_dataset,
                            title = { Eyes_Detector Dataset },
                            type = { Open Source Dataset },
                            author = { Emotiontest },
                            howpublished = { \url{ https://universe.roboflow.com/emotiontest/eyes_detector } },
                            url = { https://universe.roboflow.com/emotiontest/eyes_detector },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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