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Xby Image Detect — DSH Plugin for DeepSeek Harness
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xby-image-detect

Xby Image Detect

Detects 80 classes of COCO objects (people, vehicles, animals, everyday items, etc.) in images, outputting bounding boxes, confidence scores, and class labels.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:xby-skill/xby-image-detect#f02e6b99df6c9956cf629d1f6fb66d3b13c11e96
READMECompatibilityVersions

Compatibility and provenance

Xby Image Detect is published as xby-image-detect and currently resolves to version 1.0.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
8/28/2026

Versions

1.0.0stable
8/28/2026

Related plugins

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Latest
1.0.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
8/28/2026
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README

xby-image-detect

DeepSeek Harness (DSH) 的插件：目标检测

检测图像中的80类COCO目标（人、车、动物、日常物品等），输出边界框、置信度和类别标签。

功能

  • set_xby_apikey — 在聊天中设置 API 密钥（自动持久化，重启有效）
  • yolo26_detect — 检测图像中的80类COCO目标（人、车、动物、日常物品等），输出边界框、置信度和类别标签。 需要输入图片文件链接。
  • yolo26_detect_for_data_base64 — 检测图像中的80类COCO目标（人、车、动物、日常物品等），输出边界框、置信度和类别标签。 需要输入图片文件的BASE64编码。
  • yolo26_detect_for_data_file — 检测图像中的80类COCO目标（人、车、动物、日常物品等），输出边界框、置信度和类别标签。 需要输入图片文件的文件路径。

安装

方式一：从 GitHub 直接安装（推荐）

# 格式: dsh plugin --profile <profile> add github:<owner>/<repo>
dsh plugin --profile web add github:xby_skill/xby-image-detect

方式二：从本地目录安装（开发模式）

# 仅用于本地开发调试
dsh plugin --profile web add /absolute/path/to/xby-image-detect

方式三：通过 cordis.patch.yml 开发调试

dsh web --profile web --patch /absolute/path/to/dsh-ocr-plugin/cordis.patch.yml

配置

获取 API 密钥

前往 小笨羊官网 注册并获取 API 密钥。