Dataset for eye-tracking tasks

In recent years many different deep neural networks were developed, but due to a large number of layers
in deep networks, their training requires a long time and a large number of datasets. Today is popular to
use trained deep neural networks for various tasks, even for simple ones in which such deep networks are
not required...

The well-known deep networks such as YoloV3, SSD, etc. are intended for tracking and
monitoring various objects, therefore their weights are heavy and the overall accuracy for a specific task
is low. Eye-tracking tasks need to detect only one

 

 

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