nasa-ibm-ai4science/Sombench-WAC-Crater-Detection

SomBench Benchmark: Robbins Crater Detection, WAC Science theme: Impact processes Task: Object detection Dataset Summary An impact-crater object-detection benchmark built from the Robbins (2019) global lunar crater catalog, a manually compiled, near-complete census of lunar impact craters (≥ ~1–2 km). Catalog crater centers and diameters are converted to bounding boxes and packaged over LROC WAC visible tiles drawn from the pre-training corpus test split, in COCO… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-WAC-Crater-Detection.