Point

Points can be used to identify joints in pose detection tasks or to help localize small objects.

Import

Python SDK

Point is a type of ObjectAnnotation

Definition

Point(x=x, y=y)

Parameter	Value
`x`	An integer
`y`	An integer

Supported data types

Data type	Supported
Image, Video, Tiled imagery	Yes

ObjectAnnotation(
  name = "point",
  value = Point(x=10, y=10),
)

ObjectAnnotation(
  name = "point_geospatial",
  value = Point(x=-99.21052827588443, y=19.405662413477728),
)

Format convertors

Method	Usage	Comments
`from_shapely()`	`Point.from_shapely(shapely_object)`	Transforms a shapely object. Learn more about shapely

NDJSON

NDJSON format is recommended if an annotation type is not yet supported in Python SDK or if you are unable to use the Python environment.

Definition

Parameter	Asset type	Required	Description
`uuid`	Image Tiled imagery	Yes	A user-generated UUID for each annotation. If you import an annotation to a Data Row and there is already an imported annotation with the same uuid on that Data Row, the latest import will override the previous one. The uuid must be 128 bits (32 characters). The following formats are supported: - `A0EEBC99-9C0B-4EF8-BB6D-6BB9BD380A11` - `{a0eebc99-9c0b-4ef8-bb6d-6bb9bd380a11}` - `a0eebc999c0b4ef8bb6d6bb9bd380a11` - `a0ee-bc99-9c0b-4ef8-bb6d-6bb9-bd38-0a11` - `{a0eebc99-9c0b4ef8-bb6d6bb9-bd380a11}`
`schemaId`	Image Tiled imagery	Yes	The ID of the schema that contains all of the information needed for rendering your annotation.
`dataRow.id`	Image Tiled imagery	Yes	The ID of the Data Row where you want to attach the imported annotations.
`point.x`	Image Tiled imagery	Yes	x-coordinate for the Point annotation. For Tiled imagery, this value is the longitude.
`point.y`	Image Tiled imagery	Yes	y-coordinate for the Point annotation. For Tiled imagery, this value is the latitude.

Supported data types

Data type	Supported
Image	Yes
Tiled imagery	Yes
Video	Yes (in a segment)

Format

{
    "uuid": "532953e6-746f-4d74-945d-b4a9c2786479",
    "schemaId": "ck68grts29n800890roip3u5d",
    "dataRow": {
         "id": "cjxav5aa07r1g0dsq70t9eveg"
     },
     "point": {
         "x": 30,
         "y": 150
     }
}

{
    "uuid": uuid,
    "schemaId": schema_id,
    "dataRow": {
      "id": datarow_id
    },
    "segments": [
      {
        "keyframes": [
          {
            "frame": 5,
            "point": {
              "x": 80,
              "y": 80
            }
          },
          {
            "frame": 12,
            "point": {
              "x": 100,
              "y": 100
            }
          },
          {
            "frame": 20,
            "point": {
              "x": 125,
              "y": 125
            }
          }
        ]
      },
      {
        "keyframes": [
          {
            "frame": 22,
            "point": {
              "x": 50,
              "y": 50
            }
          },
          {
            "frame": 25,
            "point": {
              "x": 75,
              "y": 75
            }
          }
        ]
      },
      {
        "keyframes": [
          {
            "frame": 27,
            "point": {
              "x": 80,
              "y": 50
            }
          }
        ]
      }
    ]
  }

{
    "uuid": "532953e6-746f-4d74-945d-b4a9c2786479",
    "schemaId": "ck68grts29n800890roip3u5d",
    "dataRow": {
         "id": "cjxav5aa07r1g0dsq70t9eveg"
     },
     "point": {
         "x": -99.21052827588443,
         "y": 19.405662413477728
     }
}

Export

When you export your Point annotations from Labelbox, the export file will contain the following information for each Point.

Python SDK

The export format of the polygon is similar to the import format.

Learn more about exporting annotations using the SDK here

JSON

You will receive a JSON file when you generate an export from the app.

Parameter	Asset type	Description
`schemaId`	Image Video Tiled imagery	The ID of the schema containing all of the information needed for rendering your annotation.
`featureId`	Image Video Tiled imagery	ID of the annotation.
`title`	Image Video Tiled imagery	Name of the annotation in the ontology.
`color`	Image Video Tiled imagery	Color of the annotation in the ontology.
`point.x`	Image Video	x coordinate for Point annotation.
`point.y`	Image Video	y coordinate for Point annotation.
`instanceURI`	Image	Annotation information hosted on Labelbox servers.
`keyframe`	Video	When `keyframe` is `true`, it means that a labeler created or made an adjustment to the annotation on that frame. When `keyframe` is `false`, it means the annotation was auto-populated or interpolated on that frame.
`type`	Tiled imagery	Annotation type
`geometry.coordinates`	Tiled imagery	Longitude and latitude, in that order.

Format

{
    "featureId": "ck9bmemy91hic10bogwc6sygv",
    "schemaId": "ck9blmq1lnlxy0889stzln2ms",
    "title": "Bird eye",
    "value": "bird_eye",
    "color": "#D4FF00",
    "point": {
        "x": 116,
        "y": 98
    },
    "instanceURI": "https://api.labelbox.com/masks/feature/ckmuuw0st00043g68jfguoplb?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ1c2VySWQiOiJjazUycnZ4MWtxYXpiMDc3MDBtcTI3eDRsIiwib3JnYW5pemF0aW9uSWQiOiJjazUycnZ4MG1wdzRnMDc2NndncXZqdGw5IiwiaWF0IjoxNjE3MDM4NDAwLCJleHAiOjE2MTk2MzA0MDB9.5YaORL6mWpPqgAb6IbWChm4MQo14obOU8LFWbfCEHR0"
}

{
    "featureId": "ckmv0r56g00023g68s2dgru6l",
    "schemaId": "cklifp8jw0tn40y5p3xtr2kk2",
    "title": "right_ear",
    "value": "right_ear",
    "color": "#1CE6FF",
    "keyframe": true,
    "point": {
        "x": 943,
        "y": 500
}

{
    "featureId": "cknjemyt800073g68xh4fsxeu",
    "schemaId": "cknjemcpt0l4n0y92d3oo7no3",
    "title": "test3",
    "value": "test3",
    "color": "#FF4A46",
    "type": "point",
    "geometry": {
        "coordinates": [
            -99.20951155086122,
            19.404749976992253
        ]
    }
}