SystemOnline
Craters
CRATER CANDIDATE
17.089°N 103.136°W · FARSIDE · NORTHERN HEMISPHERE
- DiameterEstimated diameter
- 3.38 km
- ConfidenceModel confidence
- 1.00
- Diameter rankDiameter rank
- Top 16.5%
MOONATLAS derived
The NASA-IBM LFM crater detection model predicts a crater candidate about 3.4 km across with confidence 1.00. It is a model detection, not a reference catalog entry. 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
High confidence
Confidence ≥ 0.99 and at least 3 km across. 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.
M1124258461CE · 97 predicted boxes · 119 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
- 1.000
- DIAMETERAI prediction · NASA-IBM LFM
- 3.383 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
- Training sample
- Source
- M1124258461CE_r2288_c360.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-m1124258461ce-r2288-c360#0
- 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.