Dataset · Hugging Face

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

Name: Sombench-WAC-Crater-Detection
Creator: nasa-ibm-ai4science
License: cc-by-4.0
Keywords: task_categories:object-detection, license:cc-by-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:tabular, modality:text, modality:geospatial, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, lunar, planetary-science

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.

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Author / organization	nasa-ibm-ai4science
License (as declared)	cc-by-4.0
Downloads	3.1K (as reported by Hugging Face)
Likes	0
Created	31 August 2026
Last updated at source	9 September 2026

lunarplanetary-scienceremote-sensingcrater-detectionimpact-craterscoco

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