The corpus uses high-definition cameras to capture lip speech video data from approximately 208 individuals. The capture scenario is an indoor quiet environment, simulating various types of lighting, including normal light, strong light, backlight, and weak light. The shooting distance includes 0.5m and 1m, with a primary focus on 0.5m, accounting for about 90% of the recordings. The shooting angle is frontal, with the imaging size focusing mainly on the upper body. In addition to solo collections, the collection also simulates queue scenarios, with about 30% of each person's video data being collected in multi-person scenarios, where the number of people appearing in the multi-person scenes is mostly two. The collectors primarily speak Mandarin (prioritizing northern pronunciation individuals, with some collectors having better southern Mandarin pronunciation), some collectors may have a slight local accent, speaking at a normal pace, recording 10 sentences per person, with an average of 10 to 15 characters per sentence. The collectors' ages range from 7 to over 60 years old, mainly children and middle-aged and young people, with a balanced gender ratio. While the video is being recorded, there is also a front-facing interface microphone recording synchronized with the collector, and the other audio file comes from the collected video.
Product Features: This corpus includes data from 23 categories such as cuisine, landscapes, architecture, cities, countryside, health, sports, medical, automobiles, backgrounds, finance, education, oil paintings, illustrations, watercolors, travel, fashion, romance, animals, plants, space, and technology.
Product Features: Images from various scenarios, multiple time periods, and different shooting angles, covering architecture, displays, urban streetscapes, home environments, competition scenes, shopping malls, schools, exhibitions, and natural environments. Corresponding text descriptions are provided.
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.
【Product Features】
High-quality images of architecture and plants, with no blurring within the full size of the image, ensuring that both the foreground and background show clear textures even when enlarged; no more than 5 images of the same subject from different angles to ensure diversity in the content captured.
【Image Specifications】
Resolution above 4k (shoot in the highest quality mode with the camera); focal length within the range of 185mm to 235mm.