ImageCategoriesConverter
Classify images into hierarchical category taxonomies using a vision-language model. Supports standard taxonomies like IAB Content Taxonomy, Google Product Categories, and custom category trees with multi-label classification and confidence scoring.
How It Works
Upload an image or provide a URL to the Mixpeek API.
A vision-language model analyzes the image content and composition.
The image is scored against each category in your selected taxonomy.
Multi-label classification assigns all relevant categories above the confidence threshold.
Hierarchical category paths are returned with confidence scores at each level.
Code Examples
from mixpeek import Mixpeekclient = Mixpeek(api_key="YOUR_API_KEY")result = client.convert(source="https://example.com/product-photo.jpg",from_format="image",to_format="categories",options={"taxonomy": "google-product-categories","max_categories": 5,"min_confidence": 0.3,"include_hierarchy": True})for category in result.categories:print(f"{category.path} ({category.confidence:.2f})")
Use Cases
Supported Input Formats
Quick Info
Try This Conversion
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Frequently Asked Questions
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Ready to convert image to categories?
Start using the Mixpeek Image to Categories in minutes. Sign up for a free API key and follow the documentation to get started.
