crater
Datasets
All datasets matching “crater”craterCraterBench-R
CraterBench-R
Paper
CraterBench-R is an instance-level crater retrieval benchmark built from Mars CTX imagery.
This repository contains the released benchmark images, official split files, relevance metadata, and a minimal evaluation example.
Summary
25,000 crater identities in the benchmark gallery
50,000 gallery images with two canonical context crops per crater
1,000 held-out query crater identities
5,000 manually verified query images with five views per query crater… See the full description on the dataset page: https://huggingface.co/datasets/jfang/CraterBench-R.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.Sombench-NAC-Crater-Detection
SOMBench Benchmark: Hand-Labeled Crater Detection in NAC data (nac_craters_dataset)
Science theme: Impact cratering
Task: Single-class object detection (COCO bounding boxes)
Dataset Summary
A crater-detection benchmark built from expert hand-labeled crater outlines
on LROC NAC orthophotos across six lunar NAC PHO sites (Apollo 15 SIVB impact,
Apollo 17, Highland Photom, King Ejecta, March 17 Impact, Reiner Gamma). Subject matter expert (SME) annotators… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-NAC-Crater-Detection.mb-crater_binary_seg
mb-crater_binary_seg
A segmentation dataset for planetary science applications.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-15
Cite As: TBD
Classes
This dataset contains the following classes:
0: Background
1: Crater
Directory Structure
The dataset follows this structure:
dataset/
├── train/
│ ├── images/ # Image files
│ └── masks/ # Segmentation masks… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-crater_binary_seg.mb-crater_multi_seg
mb-crater_multi_seg
A segmentation dataset for planetary science applications.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-15
Cite As: TBD
Classes
This dataset contains the following classes:
0: Background
1: Other
2: Layered
3: Buried
4: Secondary
Directory Structure
The dataset follows this structure:
dataset/
├── train/
│ ├── images/ # Image files
│ └──… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-crater_multi_seg.