Datasets › VGS
VGS (VideoGazeSpeech)
Gaze following attracts much attention recently while existing databases commonly lack audio information. In this work, we collect the first gaze following dataset containing audios, the VideoGazeSpeech Dataset. The dataset is used to evaluate our method and also encourage future research in multi-modal gaze following. Our dataset comprises a total of $35,231$ frames of $29$ videos. Each video in the dataset has an average duration of approximately $20$ seconds and is recorded at a frame rate of $25$ frames per second (fps). The resolution of each video is 1280 ×720 pixels, and the entire dataset occupies a storage space of $7.2$ GB.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- VGS
1 variant name, as the archive lists them.
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