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Craters

CRATER CANDIDATE

7.982°S 33.445°E · NEARSIDE · SOUTHERN HEMISPHERE

Diameter
39.24 km
Confidence
1.00
Diameter rank
Top 0.1%

MOONATLAS derived

Large candidateValidation sampleNASA-IBM LFM · WAC crater detection

The NASA-IBM LFM crater detection model predicts a crater candidate about 39.2 km across with confidence 1.00. It is a model detection, not a reference catalog entry. This is a validation sample used during model development, so the prediction is not independent evidence of model performance.

Why MOONATLAS selected this

Large candidate

Largest confident detections of the analyzed tiles. Product curation over model outputs, not a scientific ranking.

Dataset split

Used during model development, so this prediction is not independent evidence of performance. The observation and the model output are equally real.

LROC WAC tile M1108060399CE
AI prediction · NASA-IBM LFM1.0×

M1108060399CE · 82 predicted boxes · 83 Robbins (2019) reference boxes

A model detection on one analyzed tile, not a catalogued crater and not a unique physical crater: SomBench tiles overlap, so the same crater can be detected on more than one tile.

Model outputs

CONFIDENCEAI prediction · NASA-IBM LFM
0.998
DIAMETERAI prediction · NASA-IBM LFM
39.24 km
REFERENCE MATCHMOONATLAS derived metric
Yes

Provenance

Model
NASA-IBM Lunar Foundation Model
Task
Crater detection on LROC WAC imagery
Checkpoint
WAC_ni_lfm_ps8_lora_s46.ckpt
Dataset
sombench-wac-crater-detection
Split
Validation sample
Source
M1108060399CE_r11112_c720.tif
Processing
science-0.3.1
Data origin
Real model output
Scientific details
Model id
lfm-crater-detection
Model revision
f09ebeae2099
Reference
robbins-2019
Object id
wac-m1108060399ce-r11112-c720#7
Catalogued
2026-09-17

Values are model output as produced, or MOONATLAS derived metrics computed from it; reference annotations are shown separately and never mixed into predictions. How MOONATLAS works.