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Geospatial Data Science Lab

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Models in Library1
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Models on Hugging Face1
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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

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Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

ALMA: Airborne LiDAR Masked Autoencoding Framework for Self Supervised Representation Learning on 3DEP Point Cloud Arnav Goel and Jinha Jung reconstruction models, and complete final segmentation models. Download and verify using the code repository's manifest/downloader. SHA256SUMS lists the exact exported weight hashes. Optimizer states are omitted. Inputs are 20,480 XYZ points. Coordinates must be in feet. Pretraining uses bounding-box-centered XYZ divided by [50,50,25] (QL1) / [100,100,75] (QL2). Downstream uses mean-centered XY divided by half crop width and minimum-shifted Z in feet. Configurations are not interchangeable. The segmentation decoder predicts LAS 2–6; other training…

Open weights mit