Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Languages:
English
Size:
10K - 100K
License:
Readme
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by
gerlev - opened
README.md
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- robotics
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- space
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annotations_creators:
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- crowdsourced
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- expert-generated
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language_creators:
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- found
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# BASEPROD: The Bardenas SemiDesert Planetary Rover Dataset
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## Dataset Summary
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BASEPROD is a planetary rover dataset collected in the Bardenas semi-desert in Spain, containing approximately 36,000 synchronized sets of RGB, depth, and thermal images from a Realsense camera and thermal sensor, plus 62,000 additional stereo pairs from a Bumblebee XB3 camera. The dataset was collected using the MaRTA rover (Martian Rover Testbed for Autonomy) developed by ESA, traversing approximately 1.7km of Mars-analog terrain.
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## Supported Tasks
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The dataset can be used for, among others:
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* Image Segmentation
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* Terrain Classification
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* Multi-modal Vision Analysis
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## Sensors
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Realsense D435i RGB-D camera:
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* RGB resolution: 1280x720 pixels.
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* Depth resolution: 848x480 pixels.
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* Mounted in front center, tilted down 20°.
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Optris PI 640i thermal camera:
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* Resolution: 640x480 pixels.
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* Mounted below Realsense camera.
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## Data Structure
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* color: RGB images, PNG format (1280x720).
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* depth: Values in millimeters.
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* depth_16bit: 16-bit unsigned grayscale PNG (848x480).
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* thermal: PNG format (640x480) with absolute temperature values (10-50°C).
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* thermal_rgb: PNG format (640x480) with per-image normalization for enhanced local contrast.
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- robotics
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- space
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annotations_creators:
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- expert-generated
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language_creators:
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- found
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# BASEPROD: The Bardenas SemiDesert Planetary Rover Dataset
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## Dataset Summary
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[BASEPROD][paper] is a planetary rover dataset collected in the Bardenas semi-desert in Spain.
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The dataset was collected using the MaRTA rover (Martian Rover Testbed for Autonomy) developed by ESA, traversing approximately 1.7km of Mars-analog terrain.
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This is a **partial reupload**, containing approximately 36,000 RGB, depth, and thermal images from a Realsense camera and thermal sensor.
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The [full dataset][dataset] includes *rosbags* and additional data such as inertial data, force-torque recordings, GNSS, maps, etc.
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For more information about the dataset and its creation, please refer to the [dataset website][dataset] and the [paper][paper].
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## Supported Tasks
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The dataset can be used for, among others:
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* Image Segmentation
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* Terrain Classification
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* Multi-modal Vision Analysis
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A labeled subset of synchronized and aligned images is available [on Zenodo][labeled].
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## Sensors
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Realsense D435i RGB-D camera:
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* RGB resolution: 1280x720 pixels.
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* Depth resolution: 848x480 pixels.
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* Mounted in front center, tilted down 20°.
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Optris PI 640i thermal camera:
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* Resolution: 640x480 pixels.
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* Mounted below Realsense camera.
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For all sensors and formats as well as the map and weather data, please refer to the [full dataset][dataset].
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## Data Structure
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* color: RGB images, PNG format (1280x720).
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* depth: Values in millimeters.
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* depth_16bit: 16-bit unsigned grayscale PNG (848x480).
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* thermal: PNG format (640x480) with absolute temperature values (10-50°C).
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* thermal_rgb: PNG format (640x480) with per-image normalization for enhanced local contrast.
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## Citation
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Gerdes, L., Wiese, T., Castilla Arquillo, R. *et al.* **BASEPROD: The Bardenas Semi-Desert Planetary Rover Dataset**. *Sci Data* **11**, 1054 (2024). <https://doi.org/10.1038/s41597-024-03881-1>
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```bibtex
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@article{Baseprod,
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author = {Levin Gerdes and Tim Wiese and Raúl Castilla Arquillo and Laura Bielenberg and Martin Azkarate and Hugo Leblond and Felix Wilting and Joaquín Ortega Cortés and Alberto Bernal and Santiago Palanco and Carlos Pérez del Pulgar},
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doi = {10.1038/s41597-024-03881-1},
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issn = {2052-4463},
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issue = {1},
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journal = {Scientific Data},
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month = {9},
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pages = {1054},
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title = {BASEPROD: The Bardenas Semi-Desert Planetary Rover Dataset},
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volume = {11},
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url = {https://www.nature.com/articles/s41597-024-03881-1},
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year = {2024},
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}
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```
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[dataset]: https://doi.org/10.57780/esa-xxd1ysw
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[paper]: https://doi.org/10.1038/s41597-024-03881-1
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[labeled]: https://doi.org/10.5281/zenodo.15496884
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