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. http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/

Data and Resources

Additional Info

Field Value
Source http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/
Author Piotr Dollár, Christian Wojek, Bernt Schiele, and Pietro Perona
Maintainer Piotr Dollár
Number of Instances 4
Package Description http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/
Dataset has missing values False