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Craters

CRATER CANDIDATE

49.788°N 85.493°W · NEARSIDE · NORTHERN HEMISPHERE

Diameter
3.25 km
Confidence
0.99
Diameter rank
Top 17.7%

MOONATLAS derived

Unmatched with RobbinsTraining sampleNASA-IBM LFM · WAC crater detection

The NASA-IBM LFM crater detection model predicts a crater candidate about 3.2 km across with confidence 0.99. It is a model detection, not a reference catalog entry. No Robbins (2019) reference crater matched this detection under the IoU ≥ 0.5 rule; that does not make it a new or previously unknown crater. This is a training sample: the model saw this area during training, so the prediction is not independent evidence of model performance.

Why MOONATLAS selected this

Unmatched with Robbins

No Robbins (2019) reference crater matched under the IoU ≥ 0.5 rule. It does not mean a new or previously unknown crater. Product curation over model outputs, not a scientific ranking.

Dataset split

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

LROC WAC tile M1106466195CE
AI prediction · NASA-IBM LFM1.0×

M1106466195CE · 57 predicted boxes · 77 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
0.994
DIAMETERAI prediction · NASA-IBM LFM
3.247 km
REFERENCE MATCHMOONATLAS derived metric
No

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
Training sample
Source
M1106466195CE_r2920_c632.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-m1106466195ce-r2920-c632#11
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.