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vaaya.ai Image Object Detection (Google Lens)
x402
vaaya.ai Image Object Detection (Google Lens) is a paid API for AI agents from vaaya.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Detects and identifies objects in an image URL — including landmarks, places, plants, animals, and products — returning labels, bounding boxes, and confidence scores via Google Lens.
Price / call$0.01
Success—
StatusUnknown
How this service works
Objects in an image `url`: landmarks, places, plants, animals, products and other things with label, bounding box and confidence, from Google Lens.
Output
Returns a list of detected objects in the image, each with a human-readable label (e.g. 'golden retriever', 'Eiffel Tower', 'rose'), a bounding box indicating location within the image, and a confidence score indicating detection certainty. May also include category metadata (landmark, animal, plant, product, etc.).
Example use cases
Wildlife species identification from photo
“I have a photo of an insect I found in my garden — can you identify what species it is and tell me how confident you are? Here's the image URL: https://example.com/mystery-bug.jpg”
Landmark recognition for travel app
“Can you detect all the landmarks or places visible in this photo and give me their names with bounding boxes? Image is here: https://example.com/city-photo.jpg”
Product identification from e-commerce image
“What products can you identify in this image, and where exactly are they located in the frame? Please include confidence scores. Here's the URL: https://example.com/shelf-photo.jpg”
Technical details
Endpoint
POSThttps://vaaya.ai/api/run/openwebninja/image-objects?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured object detection with bounding boxes and confidence scores from a publicly accessible image URL, especially for identifying diverse entity types like landmarks, products, animals, and plants. Prefer it over generic image description endpoints when you need precise spatial location (bounding boxes) of each object. Google Lens as the underlying engine gives it strong coverage for real-world products, landmarks, and species.
Side effects
- Invalid or inaccessible image URL returns an error
- Image URL that requires authentication or redirects may fail
- Very low-resolution or heavily compressed images may yield poor detection
- Uncommon or highly niche objects may return low-confidence or no results
- Rate limiting or timeouts on the underlying Google Lens service can cause failures
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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