<aside> 📍 This page is a backup version. We strongly recommend you to use our main page https://sites.google.com/berkeley.edu/dlp-dataset if you don’t have connectivity issues to Google services.

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What is this?

The Dragon Lake Parking (DLP) Dataset contains annotated video and data of vehicles, cyclists, and pedestrians inside a parking lot. We collected it by flying a drone above a huge parking lot.

Abundant vehicle parking maneuvers and interactions are recorded. To the best of our knowledge, this is the first and largest public dataset designated for the parking scenario (up to April 2022), featuring high data accuracy and a rich variety of realistic human driving behavior.

Annotated Video

dlp_annotation.mp4

Semantic Visualization

dlp_visualizer.mp4

Statistics

Raw video

• Length: 3.5 hours
• Resolution: 4K
• Frame rate: 25 fps

Parking Area

• Size: 140 m x 80 m
• Number of spots: ~400

Agent Types and Count

• Vehicles (normal sedan, medium vehicle like SUV, bus): 1216
• Pedestrians: 3904
• Bicycles: 28
• Motorcycles: 5

Data Structure

The raw videos are annotated and converted to JSON format. The dataset has a graph structure with the following components