Abidlabs Mean Iou2

Compute abidlabs/mean_iou2 via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of abidlabs/mean_iou2.

qhjqhj00 7361b45 822 B Updated 3 repo stars

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abidlabs-mean-iou2

Metric abidlabs/mean_iou2 from the HuggingFace evaluate library.

When to invoke

User asks to compute abidlabs/mean_iou2 or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("abidlabs/mean_iou2")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house abidlabs/mean_iou2 matches HF — version conventions vary.
  • Many evaluate metrics have task-specific arguments (average=, lang=, model_type=); read the metric card before reporting numbers.

qhjqhj00/research-skills-pool/tree/main/skill-factory/output/abidlabs-mean-iou2 commit 7361b45682

Frequently asked questions

npx skillmds add qhjqhj00/abidlabs-mean-iou2