43 lines
1.6 KiB
Markdown
43 lines
1.6 KiB
Markdown
# Candidate feature vectors v1
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`artwork-feature-vectors-v1.parquet` is a compact candidate dataset, not a similarity definition.
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It contains one row per corpus entity, completeness flags and three fixed-size list columns. Exact
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component order is embedded in the normalization profile and repeated below.
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## `color_core_v1`
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1. raw `centroid_l`
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2. raw `centroid_a`
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3. raw `centroid_b`
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4. `palette_spread_oklab_robust_01`
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5. `lightness_stddev_robust_01`
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6. `chroma_stddev_robust_01`
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7. natural `hue_concentration_01`
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Raw OKLab coordinates deliberately preserve perceptual meaning. Centroid hue x/y are excluded to
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avoid double-counting hue already represented by a/b.
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## `visual_character_v1`
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1. `smk_brightness_robust_01`
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2. `smk_contrast_robust_01`
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3. `smk_saturation_robust_01`
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4. `smk_entropy_robust_01`
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`smk_colortemp` remains available in the wide normalized table but is excluded here.
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## `geometry_v1`
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1. `log_net_width_cm_robust_01`
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2. `log_net_height_cm_robust_01`
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3. `log_net_area_cm2_robust_01`
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4. `log_net_aspect_ratio_robust_01`
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Geometry is optional and missing elements remain null. Raw area and raw aspect ratio are not vector
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components. No family has weights, and the three families are not concatenated into a final
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distance space. Later comparison may combine raw OKLab distance, normalized scalar distance,
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palette-level distance and optional geometry under separately versioned similarity profiles.
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Milestone 5 consumes explicit scalar columns rather than treating these lists as an opaque
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universal vector. See `SIMILARITY_V1.md` for frozen component selection, scales and weights.
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