Does this skill require specific Python libraries?

The skill generates code that utilizes the computer-vision-processor plugin, which manages the necessary dependencies for image processing on your behalf.

What types of computer vision tasks can this skill perform?

This skill can perform object detection (finding objects in an image), image classification (categorizing an image), and image segmentation (dividing an image into multiple segments).

What information is returned during object detection?

Object detection typically returns a list of labels for detected items, their confidence scores, and bounding box coordinates for their locations within the image.

Can I integrate the results into other workflows?

Yes, the output from the /process-vision command can be passed to other skills for generating reports, triggering automated actions, or further data processing.

How do I trigger the computer vision analysis?

You can trigger the skill by using natural language phrases like 'analyze this image', 'detect objects', or 'classify this photo', especially when providing an image input.

Computer Vision Processor

Name: Computer Vision Processor
Author: intent-solutions-io

byintent-solutions-io

데이터 과학 및 ML

Analyzes and processes images using advanced computer vision techniques for object detection, classification, and segmentation.

소개

This skill empowers Claude to perform complex image analysis tasks directly within the development workflow by leveraging the computer-vision-processor plugin. It automates vision-centric workflows such as identifying specific objects with bounding boxes, categorizing visual content into predefined classes, and segmenting image regions for detailed inspection. Ideal for developers building AI-driven applications, it allows for the generation and execution of vision-processing code through simple natural language commands, streamlining the bridge between raw image data and actionable insights.

주요 기능

Advanced image segmentation for region-based visual analysis
Seamless Python code generation for image processing pipelines
Automated object detection with bounding box and label identification
High-accuracy image classification and categorization
Natural language interface for complex vision-processing workflows
0 GitHub stars

사용 사례

Identifying and counting specific objects or features within a provided image dataset
Automating the classification of user-uploaded images for content management systems
Extracting specific visual regions for specialized analysis in fields like medical or satellite imaging

소개

주요 기능

Advanced image segmentation for region-based visual analysis
Seamless Python code generation for image processing pipelines
Automated object detection with bounding box and label identification
High-accuracy image classification and categorization
Natural language interface for complex vision-processing workflows
0 GitHub stars

사용 사례

Identifying and counting specific objects or features within a provided image dataset
Automating the classification of user-uploaded images for content management systems
Extracting specific visual regions for specialized analysis in fields like medical or satellite imaging