ImageRetrieval
🥈SilverWith the large-scale image database in the field of science and medicine, as well as in the field of advertising and marketing, it becomes very important to organize the image database and the effective retrieval method. This paper mainly introduces the B/S architecture, focuses on Content-Based Images Retrieval technology, introduces the basic features of image low-level acquisition and corresponding retrieval matching algorithm, including graphics color, local texture and shape characteristics
900Updated Today
Intermediate30min to implementmarketing
Saves ~5 min per use
Quick InstallView Source
git clone https://github.com/XiaokangLei/ImageRetrieval.gitWorks with:
Claude
Overview
About This Skill
With the large-scale image database in the field of science and medicine, as well as in the field of advertising and marketing, it becomes very important to organize the image database and the effective retrieval method. This paper mainly introduces the B/S architecture, focuses on Content-Based Images Retrieval technology, introduces the basic features of image low-level acquisition and corresponding retrieval matching algorithm, including graphics color, local texture and shape characteristics
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/XiaokangLei/ImageRetrievalRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
📝
No Examples Available
Check the GitHub repository or documentation for usage examples.