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The Rosario Dataset v2
Multi-modal dataset for agricultural robotics, recorded with a ground robot navigating soybean fields near Rosario, Argentina. It includes stereo and RGB-D imagery, IMU, wheel odometry, and both conventional and post-processed (PPK) GNSS, together with a post-processed pose ground-truth, across 6 recorded sequences.
This repository mirrors the dataset's official distribution point so it remains available if the primary server is unreachable.
- Website: https://cifasis.github.io/rosariov2/
- Code & tools: https://github.com/CIFASIS/rosariov2 (extraction, conversion, calibration and replay scripts, Docker environments, and full documentation)
Citation
Please cite our work if you use this dataset:
@article{doi:10.1177/02783649251368909,
author = {Nicolás Soncini and Javier Cremona and Erica Vidal and Maximiliano García and Gastón Castro and Taihú Pire},
title ={The Rosario dataset v2: Multi-modal dataset for agricultural robotics},
journal = {The International Journal of Robotics Research},
year = {2025},
pages = {02783649251368909},
doi = {10.1177/02783649251368909},
URL = {https://doi.org/10.1177/02783649251368909}
}
Dataset structure
sequences/: the 6 recorded sessions, as ROS1 rosbags, plus add-on rosbags per sequence:<sequence_id>.compressed.bag: base rosbag (stereo/RGB-D imagery, IMU, wheel odometry).<sequence_id>_conventional_gnss.bag: conventional (non post-processed) GNSS data.<sequence_id>_ppk_gnss.bag: Post-Processed Kinematic (PPK) GNSS data.<sequence_id>_pgt.bag: post-processed pose ground-truth.<sequence_id>_odom_fix.bag: corrected wheel odometry (see the code repo'sdocs/odometry_fix.md), published as/odom_fix, meant to be merged with the base rosbag.
sequences_plain/: select topics extracted from the rosbags as plaintext (CSV/TUM), with its own README.calibration/: calibration recordings (IMU bias, camera/IMU intrinsics and extrinsics) and the resulting calibration files.raw_gnss/: raw GNSS receiver logs as produced during data collection.supplementary_dataset/: an additional dataset recorded on a separate date at the same premises, with its own README and CHANGELOG.
Sequences
| # | Sequence ID | Duration | Distance | Date |
|---|---|---|---|---|
| 1 | 2023-12-22-13-14-16 | 940s | 777m | 2023-12-22 |
| 2 | 2023-12-22-14-29-43 | 1011s | 904m | 2023-12-22 |
| 3 | 2023-12-22-16-31-08 | 943s | 950m | 2023-12-22 |
| 4 | 2023-12-26-13-39-43 | 2506s | 2254m | 2023-12-26 |
| 5 | 2023-12-26-15-10-15 | 796s | 703m | 2023-12-26 |
| 6 | 2023-12-26-15-48-38 | 1862s | 1744m | 2023-12-26 |
License
All data in this dataset is licensed under a Creative Commons 4.0 Attribution License (CC BY 4.0). Please check the LICENSE file included in this repository for full terms.
Changelog
Changes to the dataset itself are tracked in CHANGELOG.md.
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