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Recognition in detail right out of the box.
No code. No labeling. No hassle.
import dragoneye as di

di_client = di.Dragoneye(api_key="API_KEY")

result = di_client.classification.predict(
  image=Image(
    url="https://example.com/image.png"
  ),
  model="yourUserName/modelId",
)
import {  Dragoneye  } from "dragoneye-node"

const dragoneyeClient = new Dragoneye({
  apiKey: "API_KEY"
});

const results = await dragoneyeClient
  .classification.predict({
    image: {
      url: "https://example.com/image.png"
    },
    modelName: "yourUserName/modelId",
  });
curl -L 'https://api.dragoneye.ai/predict' \
  -H 'Authorization: Bearer <YOUR TOKEN>' \
  -F 'image_url="https://example.com/image.jpg"' \
  -F 'model_name=yourUserName/modelId'

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