UCF101

UCF101 is a comprehensive collection of 13,320 video clips spanning 101 different human action categories, such as sports, animals, and daily activities. It is commonly used in research to develop and evaluate computer algorithms that recognize actions in videos. The dataset provides diverse, real-world footage to help machines learn to identify various movements and behaviors accurately. Its varied content and challenging scenarios make it a valuable resource for advancing computer vision and artificial intelligence applications related to video understanding.