Product Features: This dataset has collected 100,000 dance videos, each averaging 30 seconds in length, at 4K resolution, including adults and teenagers with a foundation in dance, with a balanced gender ratio. It includes both solo and group dances, with high richness in videos from various angles such as front, side, back, and turning. Dance types include folk dance, jazz, street dance, and more.
Application Fields: This dataset can be applied to virtual humans, VR, dance education, video production, and other fields, promoting the application and development of multimodal technology in the corresponding areas.
Images are captured by professional photographers.
Composition types include rule-of-thirds, horizontal, diagonal, triangular, and central composition.
All images are evaluated and annotated by personnel with high aesthetic standards.
Each image meets at least one composition type and at most three composition types.
Data collection covers both indoor and outdoor environments, including offices, meeting rooms, parking lots, gardens, and other common work and daily-life scenarios.
Lighting conditions include normal lighting, low-light, and backlit scenarios commonly encountered in real-world settings.
Twenty video clips per participant, with each clip corresponding to the presentation of a single object and accompanied by three close-up images of the object from different angles.
The subject appears in upper-body or full-body views, holding one object with one or both hands, recorded in standing or seated postures. The object is moved according to predefined actions.
Each video clip includes a brief verbal description of the object provided by the model.
The subject is clearly visible, and the face is not occluded for extended periods during recording.
