Individual skill
tao-analyze-detection-kpi
Run TAO Data Services KPI analysis for object detection, comparing inference annotations against ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP at a fixed IoU. Use when an object detection workflow needs per-class mAP reported after inference, or when the user asks to "run KPI analyze", "compute detection mAP", or "score my OD predictions against ground truth".
skills/tao-analyze-detection-kpi/SKILL.md
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- Last checked
- Nov 2, 2026
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
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- tao Declared skill tag
- data Declared skill tag
- kpi Declared skill tag
- object-detection Declared skill tag
- map Declared skill tag
- analytics Declared skill tag
- data Derived category
- operations Derived category
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# TAO Analyze Detection KPI
Use this skill to run TAO Data Services KPI analysis for object detection. The skill compares inference annotations against ground truth over one or more KPI sources and writes a per-class metrics CSV. It does not run inference; an upstream step must produce the inference annotations first.
The container entrypoint is:
```bash
analytics kpi_analyze -e /absolute/path/to/kpi_analyze.yaml
```
## Inputs
The user provides either a finished spec or the paths to fill into the template.