Which command does this skill use to process images?

It utilizes the /process-vision command provided by the computer-vision-processor plugin to execute analysis tasks.

Does it provide confidence scores for its analysis?

Yes, the skill typically returns classification results and object labels along with confidence scores to help you gauge accuracy.

Can I use this for batch image processing?

Yes, by providing context and appropriate file paths, Claude can generate scripts to process multiple images through this skill's logic.

What are the prerequisites for using this computer vision skill?

You need the plugins-ai-ml-computer-vision-processor installed and appropriate file access permissions for the images you wish to analyze.

What types of image tasks can this Claude skill perform?

This skill handles object detection (locating items), image classification (identifying what is in the image), and segmentation (dividing the image into segments).

Computer Vision Processor

Name: Computer Vision Processor
Author: jeremylongshore

byjeremylongshore

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983

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데이터 과학 및 ML

Analyzes and processes digital images using advanced object detection, classification, and segmentation techniques.

This skill empowers Claude to perform sophisticated visual analysis by interfacing with a specialized computer vision processor. It automates complex workflows such as identifying specific objects within a scene, categorizing images into predefined labels, and segmenting regions of interest for granular data extraction. By generating optimized Python code to execute vision tasks via the /process-vision command, it allows developers to integrate visual intelligence into their local environment, facilitating automated reporting, image metadata generation, and AI-driven visual insights.

주요 기능

01Seamless Python code generation for custom vision workflows

02Automated object detection with bounding box coordinates and labels

03983 GitHub stars

04High-accuracy image classification for rapid dataset categorization

05Precise image segmentation to identify specific regions or features

06Performance-optimized processing for various image resolutions and formats

사용 사례

01Identifying and counting specific objects like vehicles or pedestrians in static photos

02Classifying large image libraries into organized categories based on visual content

03Automating visual quality control by detecting defects or features in product imagery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills processing-computer-vision-tasks

For use in Claude.ai and ChatGPT

Download Skill

주요 기능

01Seamless Python code generation for custom vision workflows

02Automated object detection with bounding box coordinates and labels

03983 GitHub stars

04High-accuracy image classification for rapid dataset categorization

05Precise image segmentation to identify specific regions or features

06Performance-optimized processing for various image resolutions and formats

사용 사례

01Identifying and counting specific objects like vehicles or pedestrians in static photos

02Classifying large image libraries into organized categories based on visual content

03Automating visual quality control by detecting defects or features in product imagery

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills processing-computer-vision-tasks

For use in Claude.ai and ChatGPT

Download Skill