Abidlabs Mean Iou

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

qhjqhj00 12b71ba 814 B Updated 3 repo stars

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abidlabs-mean-iou

Metric abidlabs/mean_iou from the HuggingFace evaluate library.

When to invoke

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

Recipe

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

Don'ts

  • Don't assume your in-house abidlabs/mean_iou 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-iou commit 12b71bac19

Frequently asked questions

npx skillmds add qhjqhj00/abidlabs-mean-iou