Caltech Pedestrian Detection Benchmark

by Piotr Dollar,Christian Wojek,Bernt Schiele,Pietro PeronaUnknown

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.

Dataset Attributes

Label SVG
TasksDetection
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CategoriesCar, Traffic, Pedestrian, Vehicle, Road
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SensorRGB Camera