Sea AI Panoptic Quality

Compute SEA-AI/panoptic-quality via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of SEA-AI/panoptic-quality.

qhjqhj00 0263c93 862 B Updated 3 repo stars

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sea-ai-panoptic-quality

Metric SEA-AI/panoptic-quality from the HuggingFace evaluate library.

When to invoke

User asks to compute SEA-AI/panoptic-quality or wants HF evaluate's canonical version.

Recipe

import evaluate
metric = evaluate.load("SEA-AI/panoptic-quality")
result = metric.compute(predictions=preds, references=refs)
print(result)

Don'ts

  • Don't assume your in-house SEA-AI/panoptic-quality 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/sea-ai-panoptic-quality commit 0263c933ee

Frequently asked questions

npx skillmds add qhjqhj00/sea-ai-panoptic-quality