---

name: metrics-evaluation description: "Guides Waymo Open Dataset detection, tracking, motion, keypoint, and segmentation metric APIs, configs, TensorFlow ops, and submission artifacts." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Metrics Evaluation

Use this sub-skill when a task asks for WOD detection, tracking, motion, keypoint, segmentation, AP/APH/APL, minADE/minFDE/MissRate/mAP, metric config breakdown names, py_metrics_ops, metric tensor shapes, or accuracy submission artifacts.

Read:

• references/api-reference.md for verified metric wrapper signatures and tensor-shape contracts.
• references/workflows.md for detection/tracking/motion/keypoint metric flows, config breakdowns, fake fixtures, and when to use C++/Bazel tools.
• references/data-formats.md for Objects/submission proto expectations.
• references/troubleshooting.md for compiled op, TensorFlow v1 metric variables, shape assertions, breakdown, and no-label-zone failures.

Run scripts/inspect_metric_config.py to verify installed metric imports and a tiny config breakdown.

Route raw Frame conversion to dataset-utils, latency timing to latency-submissions, camera segmentation optional dependency issues to camera-and-segmentation, and sim-agent challenge metrics to motion-sim-agents.