detr-resnet-50
Model ID: @cf/facebook/detr-resnet-50
DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images).
Properties
Task Type: Object Detection
Code Examples
Worker - TypeScript
export interface Env { AI: Ai;
}
export default { async fetch(request, env): Promise<Response> { const res = await fetch("https://cataas.com/cat"); const blob = await res.arrayBuffer();
const inputs = { image: [...new Uint8Array(blob)], };
const response = await env.AI.run( "@cf/facebook/detr-resnet-50", inputs );
return new Response(JSON.stringify({ inputs: { image: [] }, response })); },
} satisfies ExportedHandler<Env>;
curl
curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/facebook/detr-resnet-50 \ -X POST \ -H "Authorization: Bearer $CLOUDFLARE_API_TOKEN" \ --data-binary "@pedestrian-boulevard-manhattan-crossing.jpg"
Responses
This task returns a list of detected objects, each one containing a label, a probability score, and its surrounding box coordinates.
[ { "label":"cat" ,"score":0.4071170687675476, "box": { "xmin": 0, "ymin": 0, "xmax": 10, "ymax": 10 } }, { "label":"face", "score":0.22562485933303833, "box": { "xmin": 15, "ymin": 22, "xmax": 25, "ymax": 35 } }, { "label":"car", "score":0.033316344022750854, "box": { "xmin": 72, "ymin": 55, "xmax": 95, "ymax": 72 } }
]
API Schema
The following schema is based on JSON SchemaInput JSON Schema
Output JSON Schema