score op• Data kinds: labels2d × labels2d → table
• Call: import fullseye as fs; fs.ledger.seg_rand(a, b, ignore_label=None) (implementation को सीधे call करना हो तो import segcompare; segcompare.seg_rand(a, b, ignore_label=None), registry से लेना हो तो opsemproof.get("seg_rand"))
Rand index, adjusted Rand index और adapted Rand error (CREMI / SNEMI)।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
With n_ij the contingency table, a_i / b_j its row and column sums and N the pixel count:
• rand_index = fraction of pixel pairs on which the two agree (same/different);
• adjusted_rand_index = Hubert & Arabie's chance-corrected version (1 = identical, about 0 = independent);
• adapted_rand_error = 1 - F over pairs of distinct pixels: pair precision = (sum n_ij^2 - N) / (sum b_j^2 - N) — of the pairs the candidate puts together, the fraction the truth also puts together — and recall = (sum n_ij^2 - N) / (sum a_i^2 - N) (Arganda-Carreras et al. 2015). The - N removes each pixel's pair with itself. scikit-image's adapted_rand_error returns the same error, but its precision is divided by the truth pairs (its code sums the rows of the truth-by-test table), i.e. it is this recall; its docstring says otherwise.
Raises ValueError: as seg_contingency; fewer than 2 counted pixels.
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_em_split_merge_score — py -3.11 examples/poc_em_split_merge_score.py
table को input के रूप में लेते हैं)seg_synapse_partners · seg_wiring_variation · seg_synapse_nri · seg_wiring_exposure
score)seg_contingency · seg_variation_of_information
*Provenance: segcompare.py — EMPROOF operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.