Datasets (e.g., UCF101)

Datasets like UCF101 are collections of labeled video recordings used by researchers to develop and evaluate computer algorithms that recognize actions or activities in videos. UCF101 contains over 13,000 videos across 101 different action categories, such as sports, daily activities, and gestures. These datasets serve as standardized benchmarks, allowing developers to train machines to accurately analyze and interpret video content, advancing fields like surveillance, video search, and human-computer interaction. In essence, they are essential resources that provide structured, real-world data to improve automated understanding of visual information over time.