Individual skill
tao-analyze-gaps-od-map
Run TAO Data Services object-detection gap analysis from ground-truth and inference annotations. Use when an object detection workflow needs to identify weak images by comparing model predictions against ground truth using per-class recall, precision, and AP50 thresholds. Use when the user asks to "analyze OD gaps", "find weak OD images", or "run mAP gap analysis".
skills/tao-analyze-gaps-od-map/SKILL.md
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- Last checked
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- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- tao Declared skill tag
- data Declared skill tag
- gap-analysis Declared skill tag
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# TAO Analyze Gaps OD mAP
Use this skill to run TAO Data Services object-detection gap analysis. The skill compares ground-truth and inference annotations, computes per-image per-class TP/FP/FN/AP50 metrics, and identifies weak images where any class metric falls below its threshold. It does not run inference; upstream steps must produce the inference annotations first.
The container entrypoint is:
```bash
gap_analysis object_detection -e /absolute/path/to/object_detection.yaml
```
## Inputs
Required spec fields:
