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Showing papers from University of Maryland Baltimore County Show all papers

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Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets

Croissant Baker generates validated Croissant metadata locally from dataset directories via modular handlers, achieving 97, 100% agreement with ground truth across 140+ datasets including MIMIC-IV.

Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer, Joan Giner-Miguelez and 16 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
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MOSAIC-CONUS: A Multimodal, Multi-Temporally Paired dataset for Earth Sciences

MOSAIC-CONUS introduces a point-indexed multimodal Earth observation dataset over the contiguous U.S. with cross-sensor alignment tables and benchmarks for geospatial AI embeddings.

Abhishek Potnis, Youssef Hussein, Waqwoya Abebe, JangHyeon Lee and 6 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5