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YOLOX-nano Object Detection API
x402
YOLOX-nano Object Detection API is a paid API for AI agents from workbot1.oddsys.org, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Detects and locates objects in an image using YOLOX-nano (COCO classes), returning per-class counts and pixel bounding boxes for 80+ object categories.
Price / call$0.01
Success—
StatusUnknown
How this service works
Detect and locate objects in an image (YOLOX-nano, COCO classes): people, pets (dog/cat/horse), vehicles, and 70+ more. Returns per-class counts and pixel bounding boxes. Detection only — no identification. Best on clear, medium-to-large objects.
Output
Returns a list of detected objects with their COCO class label (e.g. 'person', 'car', 'dog'), a per-class count summary, and pixel-level bounding box coordinates (x, y, width, height) for each detected instance. Detection only — no individual identity or recognition.
Example use cases
Count people in a crowd photo
“I have a photo from our store entrance — can you detect all the people in it and tell me how many there are and where they appear in the image?”
Spot vehicles in a parking lot image
“Run object detection on this parking lot image and tell me how many cars, trucks, and motorcycles you can find, along with their bounding box coordinates.”
Detect pets in a home camera still
“Here's a snapshot from my home security camera — can you detect any dogs or cats in it and tell me where they are in the frame?”
Technical details
Endpoint
POSThttps://workbot1.oddsys.org/detect?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, lightweight object detection across standard COCO categories (people, pets, vehicles, etc.) and you only need bounding boxes and class counts — not face recognition, OCR, or scene captioning. Best suited for clear images with medium-to-large objects. Prefer this over heavier vision models when cost and latency matter and COCO-class coverage is sufficient.
Side effects
- Image too small or blurry — small objects may not be detected reliably
- Image format not supported — non-standard or corrupted image files will return an error
- Object not in COCO classes — custom or niche objects outside the 80 COCO categories won't be detected
- No objects detected — returns empty list if confidence thresholds are not met
- Payload too large — oversized images may be rejected or time out
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| classes | array | Restrict results to these COCO class names (e.g. person, dog, cat, horse, car, bus, truck, motorcycle, bicycle). Omit for all 80 classes. |
| imageBase64 | string | Base64-encoded image (png/jpeg/webp). |
| minConfidence | number | Score threshold 0.05-0.95 (default 0.4). |
Tags
x402
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