UCF101 (UCF101 Human Actions dataset)

• UCF101 dataset is an extension of UCF50 and consists of 13,320 video clips, which are classified into 101 categories. These 101 categories can be classified into 5 types (Body motion, Human-human interactions, Human-object interactions, Playing musical instruments and Sports). The total length of these video clips is over 27 hours. All the videos are collected from YouTube and have a fixed frame rate of 25 FPS with the resolution of 320 × 240.
• https://paperswithcode.com/dataset/ucf101

Kinetics (Kinetics Human Action Video Dataset)

• human action recognition 분야
• 500000 비디오 클립 -> 600개 human action class
• 각 클립은 10초 정도 길이 -> single action class
• 유튜브에서 비디오 클립 수집함
• https://paperswithcode.com/dataset/kinetics

HMDB51

• The HMDB51 dataset is a large collection of realistic videos from various sources, including movies and web videos. The dataset is composed of 6,766 video clips from 51 action categories (such as “jump”, “kiss” and “laugh”), with each category containing at least 101 clips. The original evaluation scheme uses three different training/testing splits. In each split, each action class has 70 clips for training and 30 clips for testing. The average accuracy over these three splits is used to measure the final performance.
• https://paperswithcode.com/dataset/hmdb51