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PANDA

A Gigapixel-level Human-centric Video Dataset

PANDA

PANDA is the first gigaPixel-level humAN-centric viDeo dAtaset, for large-scale, long-term, and multi-object visual analysis. The videos in PANDA were captured by a gigapixel camera and cover real-world large-scale scenes with both wide field-of-view (1km^2 area) and high resolution details (~gigapixel-level/frame). The scenes may contain 4k head counts with over 100× scale variation. PANDA provides enriched and hierarchical ground-truth annotations, including 15,974.6k bounding boxes, 111.8k fine-grained attribute labels, 12.7k trajectories, 2.2k groups and 2.9k interactions.

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GigaVision
View author website
Task
Object Detection
Annotation Types
Bounding Boxes
159746000
Items
21
Classes
799000000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
CC-BY-NC-SA