Individual skill
tao-mine-od-images
Run TAO Data Services TMM unique-neighbor matching mining from embedding parquet files for object detection workflows. Use when an object detection workflow needs to mine a bijectively-assigned set of unique source images closest to target samples. Use global allocation when mining without class constraints. Use class_stratified when rare classes are specified.
skills/tao-mine-od-images/SKILL.md
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- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 3,907
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
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- codex Repository topic
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- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
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- tao Declared skill tag
- data Declared skill tag
- mining Declared skill tag
- object-detection Declared skill tag
- unique-neighbors Declared skill tag
- tmm Declared skill tag
- data Derived category
- operations Derived category
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# TAO Mine OD Images (Unique Neighbor Matching)
Use this skill to run TAO Data Services TMM unique-neighbor matching mining for object detection. The skill consumes pre-embedded source and target parquets and writes a directory of outputs including `final_unique_files.parquet` and `summary.json`. It does not compute embeddings; upstream steps must produce the source and target embedding parquets first.
The container entrypoint is:
```bash
tmm unique_neighbor_matching -e /absolute/path/to/unique_neighbor_matching.yaml
```
## Inputs
The user can provide either an existing spec or the fields needed to generate one.
