Eye annotation is the process of identification and marking of various elements related to eyes (be it in images or videos). This process is used for the training of computer vision and machine learning models. This is known to enhance their recognition and responsibility related to eye information. The major areas of eye annotation are:
- Pupil Detection: Annotating the location and characteristics of pupils in images aids in understanding gaze direction and can have applications in fields like human-computer interaction.
- Iris Recognition: Annotation helps in identifying and outlining the iris, a critical aspect in biometric systems and authentication processes.
- Eye Movement Tracking: The annotation of eye movements within a sequence of images provides valuable data for research in psychology, user experience, and medical diagnostics.
- Blink Detection: Annotating instances of eye blinking is essential for applications like driver monitoring systems and fatigue detection.
- Emotion Recognition: Eye annotation can also be used to understand emotions by analyzing the changes in eye expressions. This has applications in fields like virtual reality, gaming, and market research.