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} }