# JigsawStack Object Detection

> Use this tool when you need to detect objects within images or videos using AI-powered models. It solves problems such as image classification, object recognition, and scene understanding, providing outputs like bounding boxes, class labels, and confidence scores. Ideal for applications in computer vision, robotics, and autonomous systems, where accurate object detection is crucial.

Canonical page: https://skillsregistry.net/skills/jigsawstack-jigsawstack-object-detection  
JSON: https://api.skillsregistry.net/v1/skills/jigsawstack-jigsawstack-object-detection

## Description

Detect Objects using JigsawStack's AI Models.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/JigsawStack/jigsawstack-object-detection)

## 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": "jigsawstack-jigsawstack-object-detection"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jigsawstack-jigsawstack-object-detection` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jigsawstack-jigsawstack-object-detection/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