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Model card: document only the sources actually used
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Model card: neutral eval-set wording
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Document v2.0.0: training data, canonicalisation, eval results
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v2.0.0: surface-sampled synthetic + mined CC0 rigs — 31.5% → 94.7% on rig-truth eval
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Restore original segmentation model (revert in-progress rework that didn't improve quality)
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v1.2.0: flat-PointNet architecture (runs correctly in linked ONNX Runtime), trained on synthetic + CC0 real rigs
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Card: add Versions changelog (v1.1.0)
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Improve model: T/A-pose data + upright aug + PointNet++ local features
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Add model card
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Add meshseg.onnx
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initial commit
