Chang'e 5 Landing Camera Crater Detection Dataset

132 hand-labelled images from the Chang'e 5 Landing Camera. Visible impact craters in each image have their crater rim inscribed by a bounding ellipse.

On average, there are approximately 50 labelled craters per image.

The first 100 images of the landers descent were labelled - this is the intended training set.

Every 10 images of the remaining 313 were then labelled - this is the intended testing set.

File Descriptions:

CE5-ellipse-labels: joblib dump of ellipse parameters per image.

change5-*.json: Raw labels as produced by the labelling software of choice, Label Studio.

Images:

The images used in this work were produced and processed by the Ground Research and Application System (GRAS) of China's Lunar and Planetary Exploration Program (https://moon.bao.ac.cn). Specifically, the first 413 images from the Chang'e 5 landing camera level 2A were used. The images can be downloaded from here: https://dx.doi.org/10.12350/CLPDS.GRAS.CE5.LCAM-2A.vA.

Reference and Acknowledgement:

Users of these annotations and associated data are requested to cite both the original dataset source (https://moon.bao.ac.cn) and the following paper:

Matthew Rodda, Sofia McLeod, Ky Cuong Pham, and Tat-Jun Chin. (2024). Camera-Pose Robust Crater Detection from Chang'e 5. doi: https://doi.org/10.48550/arXiv.2406.04569

BibTeX:

@misc{rodda2024camerapose,
      title={Camera-Pose Robust Crater Detection from Chang'e 5}, 
      author={Matthew Rodda and Sofia McLeod and Ky Cuong Pham and Tat-Jun Chin},
      year={2024},
      eprint={2406.04569},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}