cf ai Classify

    1

    Fast, free image classification using ResNet-50 on Cloudflare Workers AI with 1,000+ object categories.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    What is in golden_retriever.jpg? Please show me the top 4 predictions and confidence scores.

    Your agent does

    Classifying: golden_retriever.jpg Top predictions:

    1. [##############################] 95.3% golden retriever
    2. [######################--------] 73.1% Labrador retriever
    3. [########----------------------] 27.4% dog
    4. [###---------------------------] 11.2% tennis ball

    What you get

    Automate metadata tagging for large image librariesModerate user uploads by detecting off-topic or restricted contentSort and organize assets based on detected objects like "car" or "dog"Validate that uploaded images match expected categories in inventory systems

    About this skill

    What it does

    This skill provides high-performance image classification and object recognition by leveraging the Microsoft ResNet-50 model running on Cloudflare Workers AI. It allows your AI agent to "see" and categorize photos, identifying thousands of different classes including animals, vehicles, electronics, and scenes.

    Why use this skill

    Unlike general-purpose LLMs that may be slow or expensive for simple visual processing, this skill provides a specialized, lightweight solution. It is 100% free to use with a standard Cloudflare account, making it ideal for high-volume tasks that would otherwise drain your API credits. It returns structured confidence scores and ranked predictions, which are significantly more reliable for automation than unstructured text descriptions.

    Supported Features

    • Single & Batch Processing: Classify individual files or entire directories in one command.
    • Confidence Scoring: Get decimal-accurate probability scores for every identification.
    • Structured Output: Automatically saves results to JSON for easy parsing by other scripts or agents.
    • Extensive Vocabulary: Recognizes over 1,000 distinct ImageNet categories.

    The output is a clean, ranked list of the most likely objects or scenes detected in the image, accompanied by visual confidence bars for quick human or machine verification.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Fresh listing

    Recently published to Agensi

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    Listed4 months ago

    Frequently Asked Questions