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Image Object Detection with Bounding Boxes
x402
Image Object Detection with Bounding Boxes is a paid API for AI agents from manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Detects and localizes objects in a base64-encoded image, returning tags, confidence scores, and bounding box coordinates for each detected object.
Price / call$0.002
Success—
StatusUnknown
How this service works
Locate objects in a supplied image with tags, confidence scores, and bounding boxes.
Output
Returns a list of detected objects, each with a human-readable label/tag, a confidence score (0–1), and bounding box coordinates indicating the object's position and size within the image.
Example use cases
Retail shelf inventory monitoring
“I have a JPEG photo of a store shelf — can you identify all the products visible in it and give me their bounding box locations and confidence scores? Use a minimum confidence of 0.6.”
Security footage object identification
“Here's a PNG image from a security camera. Can you detect all objects in it and tell me where each one is located in the frame, with confidence scores above 0.8?”
Automated photo tagging pipeline
“I'm processing user-uploaded images for my photo app. For this base64 JPEG, can you find all recognizable objects with their positions and confidence scores so I can auto-tag the photo?”
Technical details
Endpoint
POSThttps://manyfish-seller.redcliff-d7368db1.westus2.azurecontainerapps.io/api/v1/image/objectsWhen to prefer
Choose this endpoint when you need both object classification AND spatial localization (bounding boxes) from a single image in one call. It is ideal for pipelines that need to know not just what objects are present but where they are. Prefer the sibling 'caption + tags + objects' endpoint if you also need a scene caption in the same call; use this dedicated object detection endpoint if you only need bounding boxes and tags without caption overhead.
Side effects
- Invalid base64 encoding returns a validation error
- Unsupported content type (not image/jpeg or image/png) returns an error
- Image too large (exceeds ~10MB base64 limit) returns a payload size error
- No objects detected above the confidence threshold returns an empty results list
- Corrupted or unreadable image data returns a processing error
- Payment not included or insufficient USDC returns a 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| contentType | — | |
| imageBase64 | string | |
| minimumConfidence | number |
Output
Schema · Response
{
"type": "json",
"example": {
"image": {
"width": 200,
"height": 120,
"contentType": "image/png"
},
"objects": []
}
}Tags
x402
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