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Input and response for the image classification model

To generate predictions from the image classification quick start model, include a reference to the image file in the request. If successful, the request returns a list of the image descriptors.

Input fields

Include the following field in the request field of the POST request:

Field	Type	Description
inputImage	String	File path to the image file.

POST response

Returns an array that contains the five image descriptors and confidence scores, similar to the following example:

{
  "prediction": [
    {
      "name": "drum, membranophone, tympan",
      "confidence_score": 0.23505400121212006
    },
    {
      "name": "frying pan, frypan, skillet",
      "confidence_score": 0.1420985758304596
    },
    {
      "name": "stove",
      "confidence_score": 0.11630863696336746
    },
    {
      "name": "ladle",
      "confidence_score": 0.08813537657260895
    },
   {
      "name": "strainer",
      "confidence_score": 0.06395173072814941
    }
  ]
}

Generating predictions

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