UWCR RaDAR mini dataset is created by ECE at the University of Washington and CMMB Vision. Please acknowledge the dataset source and provide a copy of the paper/report if you use our dataset.
To get access to our dataset, please first fill in a permission request form using the following link: https://forms.gle/DsYnn84BtVBJi2bz9. We will send the download link through email after approval.
There are 9 RaDAR sequences in this dataset. Each sequence has a framerate of 30 FPS, 255 chirps per frame, and length around 900 frames
The dataset stucture is shown below.
━ UWCR_RADAR_MINI
┗ data
┗ 2019_04_09
┗ 2019_04_09_cms1000
┣ radar
┗ ramap_labels.csv
┗ ... (sequence names)
┗ 2019_04_09_pss1003
┗ scripts
For each data sequence, RaDAR data are in radar
folder with *.bin
format.
Metadata annotations are stored in *.csv
format.
Our dataset is collected using our self-build sensor platform shown below.
Written in MATLAB format in parse_radar.m
.
Metadata parser script is in Python format in scripts folder named radar_anno_loader.py
.
Sequence path can be set inside the script.
The result return from function read_ra_labels_csv(seq_path)
can be described as follows:
- Return a list of object annotation with length of frame number.
- Each element of the list is
[range_idx, angle_idx, class_id]
. - The mapping function for range/angle index to real value is written in
mappings.py
.