NVIDIA
NVIDIA
r2b dataset 2023
Resource
NVIDIA
NVIDIA
r2b dataset 2023

The r2b dataset 2023 is a collection of live recorded sequences stored in rosbags (a ROS 2 native format used for message data) including time-synchronized sensor captures from a robot.

r2b Dataset 2023

Dataset Overview

The r2b dataset 2023 is a collection of sequences stored in rosbags, a ROS 2 native format used for message data including time synchronized sensor captures from a robot. The dataset can be loaded and played back into an application running a ROS graph of nodes for testing and performance benchmarking of image processing, perception and localization. Each sequence consists of a single sequence in a scene, providing a small diversity of data across the collection of sequences in this dataset.

Several sequences contain sensor multi-second captures including LIDAR, stereo camera, and IMU data from HAWK stereo camera, RealSense D455, and XT32 with highly precise time synchronization. Other sequences contain data recorded from a simulated scene in Isaac Sim. The r2b_hope sequence is distinct as it contains D415 RGB data.

SequenceVisualDescription
r2b_lounger2b_lounge sequenceLounge sequence containing couch, table, chairs, and staircase with natural planted background wall.
r2b_storager2b_storage sequenceStorage sequence including person, AprilTag, shoe, shelving, boxes, pallets, with moving obstacles.
r2b_hallwayr2b_hallway sequenceHallway sequence with walking persons, low to no feature not-perpendicular walls, specular highlights, and reflections.
r2b_datacenterr2b_datacenter sequenceDatacenter sequence with tall vertical corridor, repetitive low-feature surfaces, and little color.
r2b_cafer2b_cafe sequenceCafé sequence including table, chairs, stools, reflective flooring, dark reflective glass walls, specular highlights, low wall features, and vibration from floor surface.
r2b_hoper2b_hope sequenceImages from scene_0005 of the HOPE dataset for 6-DoF pose estimation
r2b_hideawayr2b_hideaway sequenceHideaway sequence including table, chairs, seated and moving persons, specular highlights, low wall features, and vibration from floor surface.
r2b_mezzaniner2b_mezzanine sequenceMezzanine sequence including staircase, railings, table, chairs, highlights, low wall features, and vibration from floor surface.

Documentation

Topics Provided

The sequences contained in this dataset contain the following topics:

SequenceTopics ProvidedMessage Type
r2b_lounge
r2b_storage
r2b_hallway
r2b_datacenter
r2b_cafe
r2b_hideaway
r2b_mezzanine
d455_1_depth_camera_info
d455_1_depth_image
d455_1_imu
d455_1_left_ir_camera_info
d455_1_left_ir_image
d455_1_rgb_camera_info
d455_1_rgb_image
d455_1_right_ir_camera_info
d455_1_right_ir_image
hawk_0_left_rgb_camera_info
hawk_0_left_rgb_image
hawk_0_right_rgb_camera_info
hawk_0_right_rgb_image
pandar_xt_32_0_lidar
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image
sensor_msgs/msg/Imu
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image
sensor_msgs/msg/PointCloud2
r2b_hopecamera_info
image
sensor_msgs/msg/CameraInfo
sensor_msgs/msg/Image

MD5 Checksums

A MD5 checksum of each rosbag is provided to verify the dataset sequence used in testing or benchmarking matches, to detect inconsistencies in input data, and to provide a method to confirm that the same input dataset sequence is used when comparing independent results.

SequenceChecksumSize
r2b_lounge720ce30055ee3d49e760f384ad402a033.9G
r2b_storage5e8f11201fe10dbac7307a8628553e942.9G
r2b_hallway7cc6b54751d37a78893d5bea43b3fbf51.3G
r2b_datacenter188167fd025d5922940fb9531f8356911.7G
r2b_cafe8ef0e6b552cb19b7486cc747f3f3fa431.2G
r2b_hope22260103ef97ce5cf563e2c6ee656a4e30M
r2b_hideaway96a3c2b8007173f9da57e848b4fcee8c1.8G
r2b_mezzaninec84d7420c5524d882f1019d350232fb12.0G

Getting Started/Example

Download the dataset to your local system, and playback the rosbag for test or benchmarking.

ros2 bag play path/to/r2b_sequence

For more information about using this dataset for benchmarking ROS 2 graphs of nodes, see ros2_benchmark.

License

This dataset is licensed under Creative Commons - Attribution 4.0 International.

Ethical Considerations

This dataset consists of captures in NVIDIA’s facilities in the United States. Persons in the datasets have consented to use of their images.

This dataset is not sufficiently diverse to be representative of the public in general.

Publisher
NVIDIA
NVIDIA
Latest Version3
UpdatedFebruary 27, 2025 UTC
Compressed Size14.49 GB

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