Datasets › GD
GD (Gaze-Detection)
These images were generated using UnityEyes simulator, after including essential eyeball physiology elements and modeling binocular vision dynamics. The images are annotated with head pose and gaze direction information, besides 2D and 3D landmarks of eye's most important features. Additionally, the images are distributed into eight classes denoting the gaze direction of a driver's eyes (TopLeft, TopRight, TopCenter, MiddleLeft, MiddleRight, BottomLeft, BottomRight, BottomCenter). This dataset was used to train a DNN model for estimating the gaze direction. The dataset contains 61,063 training images, 132,630 testing images and additional 72,000 images for improvement.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- GD
1 variant name, as the archive lists them.
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