Eye-Dataset
Eye-Dataset
Datasets
Eye-Dataset
File
Eye-Dataset
Use Case
Computer Vision
Description
The image data was gathered for automating an wheelchair. It can controlled by direction given by eye data collection.
About Dataset
Context
The image data was gathered for automating a wheelchair, enabling it to be controlled by directions given through eye data collection. Furthermore, this new method uses advanced AI and machine learning algorithms to understand eye movements. As a result, it gives an easy and intuitive way for people with mobility challenges to move around. By capturing and analyzing real-time eye gaze data, the system turns these movements into commands. Therefore, it offers more independence and ease of use. Ultimately, this advanced technology not only makes the user experience better but also marks a big step forward in assistive device innovation.
Content
The image dataset comprises four folders containing a total of 14.5k images. These images have been regularized and augmented to enhance their quality and variability. As a result, this dataset is optimized to achieve over 96% accuracy in the initial training session. The high-quality preprocessing ensures robustness and effectiveness in various machine learning applications, making it a valuable resource for achieving exceptional model performance. Additionally, the diverse augmentation techniques applied make this dataset versatile, suitable for training models in different scenarios, and contributing to faster convergence and improved generalization in machine learning tasks.
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