score op• Data kinds: labels2d × labels2d → table
• Call: import fullseye as fs; fs.ledger.seg_dice_jaccard(labels_pred, labels_true, *, background: 'int' = 0, per_label: 'bool' = False) -> 'Dict[str, object]' (to call the implementation directly, import segeval; segeval.seg_dice_jaccard(labels_pred, labels_true, *, background: 'int' = 0, per_label: 'bool' = False) -> 'Dict[str, object]'; from the registry, opssegmentation.get("seg_dice_jaccard"))
Dice and Jaccard — once over the mask (union of non-background pixels), or per true label against its max-overlap partner (seg_dice_jaccard).
> The detailed description below is the original text — the summary and the headings are translated.
マスク: `intersection = 両方とも背景でない画素数、size_pred / size_true、union`。
Jaccard J = ∩/∪、Dice D = 2∩/(|P|+|T|)。両方空なら 1(何も無いと正しく言った)。恒等式 D = 2J/(1+J)(門)。
`per_label=True で labels(背景でない真のラベル)、per_dice / per_jaccard`(相手が無ければ 0)、
`mean_dice / mean_jaccard` を足す。
• halcon_segmentation family guide
• segmentation_scoring_and_worlds — 分割の採点と真値つき合成世界 — どの物差しがどの壊れ方に盲目か
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_active_contours — py -3.11 examples/poc_active_contours.py
• poc_am_thermal_to_ct — py -3.11 examples/poc_am_thermal_to_ct.py
• poc_graph_hierarchy_segmentation — py -3.11 examples/poc_graph_hierarchy_segmentation.py
• poc_segmentation_gauntlet — py -3.11 examples/poc_segmentation_gauntlet.py
table as input)score)seg_confusion_table · seg_boundary_f · seg_hausdorff · seg_mean_surface_distance · seg_under_over_segmentation · seg_object_counts_match · seg_score_card
*Provenance: segeval.py — SEGMENTATION operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.