nasa-ibm-ai4science/Sombench-IMP-Segmentation
SomBench Benchmark: Irregular Mare Patch (IMP) Segmentation Science theme: Volcanic history Task: Binary semantic segmentation Dataset Summary A binary semantic-segmentation benchmark for irregular mare patches (IMPs): rare, morphologically subtle features interpreted as unusually young volcanic landforms. Each sample is an LROC NAC image tile paired with a binary IMP mask (IMP vs. background). The set is derived from published IMP polygon annotations, framed as a… See the full description on the dataset page: https://huggingface.co/datasets/nasa-ibm-ai4science/Sombench-IMP-Segmentation.
| Author / organization | nasa-ibm-ai4science |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 514 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 31 August 2026 |
| Last updated at source | 9 September 2026 |
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- nasa-ibm-ai4science/IMP-Segmentation-NASA-IBM-Lunar-Foundation-ModelModel · used to train
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