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The UCF‑101 dataset is a widely used benchmark for video action recognition. It contains 13,320 videos across 101 action categories, totaling about 7.2 GB. Videos have a resolution of 320×240 pixels and durations ranging from 1 to 30 seconds. Originally collected from YouTube and manually annotated, a ZIP version is provided to replace the original RAR distribution for easier access. The dataset is suitable for research on video‑based action recognition, such as training and evaluating deep‑learning models.
