The API to work with the Dragon Lake Parking (DLP) Dataset
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 the parking lot of Dragon Lake Wetland Park (龙湖湿地公园) at Zhengzhou, Henan, China.
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.
Authors: Xu Shen (xu_shen@berkeley.edu), Michelle Pan, Vijay Govindarajan, Neelay Velingker, Alex Wong
Model Predictive Control (MPC) Lab at UC Berkeley
- Clone this repo
- With your virtualenv activated, run
pip install -e .in the root directory of this repo. - Place the JSON data files in the
./datadirectory
Import this dataset API as a package, e.g.
from dlp.dataset import Dataset as DlpDataset
notebooks/tutorial.ipynbexplains the structure of the dataset and available APIsnotebooks/visualization.ipynbdemonstrates the dataset by visualizing it with either matplotlib or PIL