DHF1K is a video saliency dataset which contains a ground-truth map of binary pixel-wise gaze fixation points and a continuous map of the fixation points after being blurred by a gaussian filter. DHF1K contains 1000 videos in total. 700 of the videos are annotated, 600 of which are used for training and 100 for validation. The remaining 300 are the testing set which are to be evaluated on a public server.
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EgoMon Gaze & Video Dataset is an Egocentric (first person) Dataset that consists of 7 videos of 30 minutes, more or less, each one of them. - 7 videos with the gaze information plotted on them. - The same videos (without the gaze information plotted on them). - A total of 13428 images, more or less, that corresponds to each frame per second of all these videos. - 7 text files with the gaze data extracted from each video.
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