[data request] Caltech Pedestrian Detection Benchmark

• Name of dataset: Caltech Pedestrian Detection Benchmark
• URL of dataset: http://www.vision.caltech.edu/Image_Datasets/CaltechPedestrians/
• License of dataset: Unknown
• Short description of dataset and use case(s): 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.

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

Start with docs/add_dataset.md, the guide linked in the request, and review the Caltech Pedestrian Dataset URL and its unknown license. Done means contributing the dataset to tensorflow/datasets with its described annotations and metadata, subject to resolving the licensing details.