UCF101

doi:doi:10.57702/y38t92eh

UCF101

The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities with strong camera motion and low resolution videos.

BibTex:

@dataset{Khurram_Soomro_and_Amir_Roshan_Zamir_and_Mubarak_Shah_2024,
    abstract = {The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities with strong camera motion and low resolution videos.},
    author = {Khurram Soomro and Amir Roshan Zamir and Mubarak Shah},
    doi = {10.57702/y38t92eh},
    institution = {No Organization},
    keyword = {'101 classes', '3D CNNs', '3D Convolutional Neural Networks', 'Action', 'Action Recognition', 'Generative Adversarial Networks', 'Human', 'Human Action', 'Human Action Recognition', 'Human Activity Recognition', 'Motion Recognition', 'Neural Differential Equations', 'Recognition', 'UCF101', 'Video Analysis', 'Video Classification', 'Video Dataset', 'Video Features', 'Video Generation', 'Video Understanding', 'Vision Data', 'action recognition', 'audio-visual features', 'captioning', 'continual learning', 'event detection', 'human action', 'human action recognition', 'human actions', 'human motion', 'large-scale dataset', 'motion', 'motion prediction', 'self-supervised learning', 'static images', 'temporal synchronization', 'ucf101', 'video', 'video action recognition', 'video analysis', 'video dataset', 'video understanding', 'videos', 'wild', 'wild videos', 'zero-shot learning'},
    month = {nov},
    publisher = {TIB},
    title = {UCF101},
    url = {https://service.tib.eu/ldmservice/dataset/ucf101},
    year = {2024}
}