# genpark-auto-annotator

> genpark-auto-annotator — alphaparkinc-genpark-auto-annotator. Use this tool when you need to automatically annotate computer vision datasets without prior training data, solving the problem of manual labeling and enabling efficient model development. It takes in unlabeled image datasets as input and outputs annotated datasets, streamlining the data preparation process. Ideal for use cases where labeled data is scarce or manual annotation is impractical.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-auto-annotator  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-auto-annotator

## Description

Zero-shot computer vision dataset labeler.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-auto-annotator)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-auto-annotator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-auto-annotator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-auto-annotator/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
