GESCAM : A Dataset and Method on Gaze Estimation for Classroom Attention Measurement
Published: 14 June 2024| Version 1 | DOI: 10.17632/76s5pymmp3.1
Contributors:
Athul Mathew, Arshad Khan, Thariq Khalid, Riad SouissiDescription
This dataset was meticulously generated using 3D modelling, animation, simulation, and rendering techniques comprising 60,000 images with 650,000 instances of individuals (students, teachers) engaged in various activities, including looking at blackboard, notebooks, mobile phones etc. For full dataset access, please contact us at the email provided on GESCAM project page.
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Categories
Computer Vision, Synthetic Image, Deep Learning, Attention (Machine Learning), 3D Animation