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Easy to use API

1. Create a job.curl -X POST https://api.imgnet.io/jobs/ \-H 'accept: application/json' \-H 'IMGNET-API-Key: 902bd50e02744b63844e1bbbc813246b' \-H 'Content-Type: application/json' -d \

{
  "jobType": "face_detection",
  "url": "https://images.pexels.com/photos/3228723/pexels-photo-3228723.jpeg"
}

...once a job is created it's queued for processing.

{
  "createdAt": "2022-03-07T11:29:23.664549+00:00",
  "updatedAt": "2022-03-07T11:29:23.664551+00:00",
  "_id": "474ac2fdd0b345f988bade1af10c1be3",
  "jobType": "face_detection",
  "status": "queued"
}

2.Retrieve the final results with a simple GET request.curl -X GET https://api.imgnet.io/jobs/474ac2fdd0b345f988bade1af10c1be3 \-H 'accept: application/json' \-H 'IMGNET-API-Key: 902bd50e02744b63844e1bbbc813246b'...below response is truncated for brevity.

{
  "createdAt": "2022-03-07T11:29:23.664000",
  "updatedAt": "2022-03-07T11:29:31.684000",
  "_id": "474ac2fdd0b345f988bade1af10c1be3",
  "jobType": "face_detection",
  "status": "complete",
  "result": {
    "dhashes": [
      "3141352160430745214",
      "5411270156667364878",
      "4465242828482803087",
      "13356944487658454717"
    ],
    "parentImageUrl": "https://res.cloudinary.com/imgnet/image/upload/.../10418659384731027712.jpg",
    "parentImageId": "6225ec9323d02836fdd1bcca",
    "parentImageDhash": "10490716978768955648",
    "encodings": [
      [
        -0.14101533591747284,
        0.12778134644031525,
        -0.03693101555109024,
        -0.0686652809381485,
        -0.1226998046040535,
        0.04745461046695709
      ]
    ]
  }
}