Actions132
- AI Actions
- Extract Text From Document
- Check Content Policy
- Detect Adult Content
- Detect Brand
- Detect Color
- Detect Email Type
- Detect Faces
- Extract Entities
- Extract Contact Information
- Extract Customizable Information From Text
- Fuzzy Text Matcher
- Generate Image
- Generate JavaScript Code
- Generate Python Code
- Detect Language
- Detect Mood
- Extract Text From PDF
- Recognize Objects in Image
- Extract Text From Image
- Redact Sensitive Information From PDF
- Remove Background Image
- Summarize Text
- Transcribe
- Translate Text
- Image Actions
- Business Actions
- Convert Actions
- Generate Actions
- Crypto Actions
- Operator Actions
- Storage Actions
- Scheduler Actions
- Text Actions
- Chart Actions
- Code Actions
- Calculate Actions
- Date and Time Actions
- PDF Actions
- Compress PDF File
- Count PDF Pages
- Create Empty PDF
- Decrypt PDF
- Convert DOCX to PDF
- Draw Image on PDF
- Draw Text on PDF
- Encrypt PDF
- Convert HTML to PDF
- Convert Markdown to PDF
- Manage PDF Metadata
- Merge PDF Files
- Add PDF Pages
- Remove PDF Pages
- Resize PDF Pages
- Rotate PDF Pages
- Convert PDF to Base64
- Convert PDF to Image
- Split PDF File
- Add Image Watermark to PDF
- Add Text Watermark to PDF
- Shortened URL Actions
AI → Recognize Objects in Image
AI-generatedOverview
This node provides an AI-powered object recognition feature for images. It analyzes a given image URL and identifies objects present within the image. This functionality is useful in scenarios such as automated content tagging, image cataloging, visual search, or enhancing accessibility by describing image contents.
For example, you can use this node to automatically detect and label objects in product photos for an e-commerce platform, or to analyze images uploaded by users to generate metadata for better searchability.
Properties
| Name | Meaning |
|---|---|
| Image URL | The URL of the image to analyze for object recognition. Example: https://example.com/image.jpg |
Output
The node outputs JSON data containing the results of the object recognition analysis. This typically includes identified objects along with their labels, confidence scores, and possibly bounding box coordinates or other metadata describing the location and nature of each detected object.
If the node supports binary data output (not explicitly shown here), it would likely relate to returning processed image data or annotated images, but based on the provided code and properties, the primary output is structured JSON describing recognized objects.
Dependencies
- Requires an API key credential for authentication to the external AI service.
- The node sends a POST request to the endpoint
/ai/pictureobjectrecognitionon the base URLhttps://prod.0codekit.com. - Proper network access to this external service is necessary.
- The user must provide a valid publicly accessible image URL.
Troubleshooting
- Invalid or inaccessible Image URL: Ensure the image URL is correct, publicly accessible, and points directly to an image file.
- Authentication errors: Verify that the API key credential is correctly configured and has the necessary permissions.
- Network issues: Confirm that your environment can reach the external API endpoint without firewall or proxy restrictions.
- Unexpected response format: If the output JSON does not contain expected fields, check if the image is supported or if the service is experiencing issues.
Links and References
- No direct links are provided in the source code, but typically you would refer to the external AI service documentation at
https://prod.0codekit.comor the vendor's official site for detailed API usage and examples.