Get job results

get
https://api.playment.io
/v1/projects/:project_id/jobs/:job_id
JOB RESULT
get
https://api.playment.io
/v1/attachments?url=:result_url
ATTACHMENT
Result Object
{
  "data": {
    "annotations": {
      "rectangles": [],
      "polygons": [],
      "lines": [],
      "cuboids": [],
      "landmarks": []
    },
    "image_url":"https://s3.aws.com/600x400/000/fff.jpg&text=Dummy+Image+1"
  }
}
The rectangles list contains objects, where each object is an annotation. You can check the data structures for various annotation types below: 
Rectangles
Polygons
Lines
Cuboids
Landmarks
"rectangles": [
  {
    "_id": "0e6d895e-2484-439a-b62b-d8a0afb3d190",
    "label": "Chair".
    "attributes": {
      "Truncation": {
        "value": "0% Truncated"
      },
      "Occlusion": {
        "value": "0% Occluded"
      }
    }
    "coordinates": [
      {"x": 0.00398, "y": 0.00558},
      {"x": 0.05404, "y": 0.00558},
      {"x": 0.05404, "y": 0.09096},
      {"x": 0.00398, "y": 0.09096}
    ]
  }
]
"polygons": [
  {
    "_id": "8f8897ad-e07b-4e55-9dbe-61f6b9df85c5",
    "label": "Pedestrian Crossing",
    "attributes": {
      "Type": {
        "value": "Dashed"
      },
      "Occlusion": {
        "value": "0% - 25% Occluded"
      },
      "Truncation": {
        "value": "0% Truncated"
      }
    }
    "points": {
      "p1": {"x": 0.286774, "y": 0.892502},
      "p2": {"x": 0.385849, "y": 0.576888},
      "p3": {"x": 0.426721, "y": 0.469081},
      "p4": {"x": 0.288623, "y": 0.253878},
      "p5": {"x": 0.148623, "y": 0.353878}
    },
    "edges": {
      "e1": ["p1", "p2"],
      "e2": ["p2", "p3"],
      "e3": ["p3", "p4"],
      "e4": ["p4", "p4"],
      "e5": ["p5", "p1"]
    }
  }
]
"lines": [
  {
    "_id": "8f8897ad-e07b-4e55-9dbe-61f6b9df85c5",
    "label": "Single SOlid Line",
    "attributes": {
      "Color": {
        "value": "Yellow"
      },
    }
    "points": {
      "p1": {"x": 0.286774, "y": 0.892502},
      "p2": {"x": 0.285849, "y": 0.876888},
      "p3": {"x": 0.286774, "y": 0.869081},
      "p4": {"x": 0.288623, "y": 0.853878}
    }
  }
]
"cuboids": [
  {
    "_id": "8f8897ad-e07b-4e55-9dbe-61f6b9df85c5",
    "label": "Car",
    "attributes" : {
      "faces_visible": {
        "value": ["right","back"]
      },
      "Type": {
        "value": "Sedan"
      }
    },
    "points": {
      "p1": {"x": 0.17,"y": 0.58},
      "p2": {"x": 0.26,"y": 0.58},
      "p3": {"x": 0.26,"y": 0.49},
      "p4": {"x": 0.17,"y": 0.49},
      "p5": {"x": 0.24,"y": 0.51},
      "p6": {"x": 0.35,"y": 0.52},
      "p7": {"x": 0.35,"y": 0.36},
      "p8": {"x": 0.25,"y": 0.37}
    },
    "front": {
      "coordinates": ["p1","p2","p3","p4"]
    },
    "side": {
      "coordinates": ["p2","p3","p5","p6"]
    },
    "back": {
      "coordinates": ["p7","p8","p5","p6"]
    }
  }
]
"landmarks": [
  {
    "_id": "e7e3353f-2ffe-432a-a14f-9cb9a6f4b735",
    "label": "Eye",
    "attributes": {
      "Type": {
        "value": "Open"
      },
    }
    "points": {
      "p1": { "x": 0.17, "y": 0.58, "label": 1 },
      "p2": { "x": 0.26, "y": 0.63, "label": 2 },
      "p3": { "x": 0.27, "y": 0.63, "label": 3 },
      "p4": { "x": 0.29, "y": 0.59, "label": 4 },
      "p5": { "x": 0.25, "y": 0.46, "label": 5 },
      "p6": { "x": 0.22, "y": 0.42, "label": 6 }
    }
  }
]
​

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Image Segmentation

Last modified 9mo ago

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Result Object