Dataset Groups Activity Stream HyDRATE The UCF101 dataset and videos captured using mobile phones and webcam representing the activity were used for training, inference, reconfiguration, and evaluation of the hardware. BibTex: @dataset{Indhumathi_Kandaswamy_and_Saurabh_Farkya_and_Zachary_Daniels_and_Gooitzen_van_der_Wal_and_Aswin_Raghavan_and_Yuzheng_Zhang_and_Jun_Hu_and_Michael_Lomnitz_and_Michael_Isnardi_and_David_Zhang_and_Michael_Piacentino_2025, abstract = {The UCF101 dataset and videos captured using mobile phones and webcam representing the activity were used for training, inference, reconfiguration, and evaluation of the hardware.}, author = {Indhumathi Kandaswamy and Saurabh Farkya and Zachary Daniels and Gooitzen van der Wal and Aswin Raghavan and Yuzheng Zhang and Jun Hu and Michael Lomnitz and Michael Isnardi and David Zhang and Michael Piacentino}, doi = {10.57702/9lnbz6px}, institution = {No Organization}, keyword = {'Activity', 'Classification', 'Computing', 'Hyper-Dimensional', 'Video'}, month = {jan}, publisher = {TIB}, title = {HyDRATE}, url = {https://service.tib.eu/ldmservice/dataset/hydrate}, year = {2025} }
