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Minimum viable image labeling for machine learning, optimized for cross-domain transfer of (meta)data-only. This is ideal in niche scenarios where labeling and training are conducted on different (or distributed) enclaves, image (pixels) are available to both, and it's more efficient (or only possible) to transfer annotations-only and re-chip.

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GEOINT/linchpin_label_maker

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linchpin_label_maker

Linchpin Label Maker (LLM), intentially named to be annoying to general AI practicitioners, is designed to serialize minimum viable image labeling for machine learning, optimized for cross-domain transfer of (meta)data-only. This is ideal in niche scenarios where labeling and training are conducted on different (or distributed) enclaves, image (pixels) are available to both, and it's more efficient (or only possible) to transfer annotations-only and re-chip.

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Minimum viable image labeling for machine learning, optimized for cross-domain transfer of (meta)data-only. This is ideal in niche scenarios where labeling and training are conducted on different (or distributed) enclaves, image (pixels) are available to both, and it's more efficient (or only possible) to transfer annotations-only and re-chip.

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