القائمة
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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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| name | abidlabs-mean-iou2 |
| description | 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. |
| metadata | {"skill_kind":"metric","source_lib":"huggingface-evaluate","hf_module":"abidlabs/mean_iou2","source":"library_introspection"} |
Metric
abidlabs/mean_iou2from the HuggingFaceevaluatelibrary.
User asks to compute abidlabs/mean_iou2 or wants HF evaluate's canonical version.
import evaluate
metric = evaluate.load("abidlabs/mean_iou2")
result = metric.compute(predictions=preds, references=refs)
print(result)
abidlabs/mean_iou2 matches HF — version conventions vary.average=, lang=, model_type=); read the metric card before reporting numbers.