: Testing how well an algorithm tracks pixels between frames.
: Actions are divided into five types: Human-Object Interaction, Body-Motion Only, Human-Human Interaction, Playing Musical Instruments, and Sports. Common Use Cases
: It contains 13,320 videos across 101 action categories.
Based on the UCF101 naming convention ( v_ActionName_gXX_cYY.avi or .mp4 ), the code refers to the 60th video group within a specific action category. While the exact action depends on the subdirectory it was pulled from, the group "60" is frequently associated with actions like Playing Guitar or Playing Piano in various versions of the dataset distribution. Key Contributions of the Paper
: UCF101: A Dataset of 101 Human Action Classes From Videos in the Wild
If you are looking at this specific file, it is likely in the context of:
G60229.mp4
: Testing how well an algorithm tracks pixels between frames.
: Actions are divided into five types: Human-Object Interaction, Body-Motion Only, Human-Human Interaction, Playing Musical Instruments, and Sports. Common Use Cases g60229.mp4
: It contains 13,320 videos across 101 action categories. : Testing how well an algorithm tracks pixels between frames
Based on the UCF101 naming convention ( v_ActionName_gXX_cYY.avi or .mp4 ), the code refers to the 60th video group within a specific action category. While the exact action depends on the subdirectory it was pulled from, the group "60" is frequently associated with actions like Playing Guitar or Playing Piano in various versions of the dataset distribution. Key Contributions of the Paper Based on the UCF101 naming convention ( v_ActionName_gXX_cYY
: UCF101: A Dataset of 101 Human Action Classes From Videos in the Wild
If you are looking at this specific file, it is likely in the context of: