Caltech Pedestrian Detection Benchmark

The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About 250,000 frames (in 137 approximately minute long segments) with a total of 350,000 bounding boxes and 2300 unique pedestrians were annotated. The annotation includes temporal correspondence between bounding boxes and detailed occlusion labels.

Data and Resources

Additional Info

Field Value
Author Piotr Dollár, Christian Wojek, Bernt Schiele, and Pietro Perona
Maintainer Piotr Dollár
Number of Instances 4
Package Description
Dataset has missing values False