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Volcanic / IMP

IMP CANDIDATE

25.048°N 46.768°W · NEARSIDE · NORTHERN HEMISPHERE

Predicted area
21,602 m²
Tile share
32.9 %
Mean softmax
0.96

uncalibrated

IMP candidateTraining sampleNASA-IBM LFM · IMP segmentation

The NASA-IBM LFM segmentation model predicts an irregular mare patch candidate covering 21,602 m² of this 256 m NAC tile. It is a model segmentation of a volcanic feature candidate, not an active volcano. 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

IMP candidate

Largest predicted IMP area of its observation group. 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 NAC tile M1335665373LE
AI prediction · NASA-IBM LFM1.0×

M1335665373LE · 256 m tile · 1.00 m/px · masks at native resolution

A segmentation of a volcanic feature candidate, never an active volcano. The mean softmax score is uncalibrated, so it ranks pixels rather than stating a probability.

Model outputs

PREDICTED AREAAI prediction · NASA-IBM LFM
21,602 m²
IoU VS REFERENCEMOONATLAS derived metric
0.736

Provenance

Model
NASA-IBM Lunar Foundation Model
Task
Irregular mare patch segmentation on LROC NAC imagery
Checkpoint
ni_lfm_ps8_frozen_s44.ckpt
Dataset
sombench-imp-segmentation
Split
Training sample
Source
M1335665373LE.ech.cog__target_1549__idx_1549_p0_img.tif
Processing
science-0.3.1
Data origin
Real model output
Scientific details
Model id
lfm-imp-segmentation
Model revision
10a09ffae35e
Reference
hargitai-2025
Object id
imp-m1335665373le-t1549-i1549
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.