DeepSeek Harness Plugin Hub
← Plugins

xby-ebike-detection

Xby Ebike Detection

Input an image, detect the electric bicycles in it, and output the bounding boxes, confidence scores, and labels for all targets in the image.

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-ebike-detection#a96d28e295b87d6f016ba48d238e6531875b993b

Compatibility and provenance

Xby Ebike Detection is published as xby-ebike-detection 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

Versions

1.0.0stable

Related plugins

More verified plugins in vision-media.

Tool Describe Image@linxin666/dsh-tool-describe-imageModel-facing describe_image tool for the dsh web GUI: gives a text-only model image understanding by asking a vision-language model at an OpenAI-compatible endpoint to describe one image (local path, http(s) URL, or attachment reference). Hot-pluggable — Vision Toolkit@anionex/dsh-vision-toolkitDeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, OCR, grounding, UI restoration, pixel diff, Artifacts, and Web UI.Deepseek Ivideodeepseek-ivideoiPolloWork HyperFrames Video Studio and 27 editable video templates as a native DeepSeek Harness conversation view.Imagegen@dickpy/dsh-imagegenAI 鐢熷浘 (image generation) plugin for the dsh web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint (gpt-image-2 / grok-imagine-image / dall-e-3, with native xAI Grok Imagine request shaping), with a settings card for