Get data explorer predictions

Predictions for every data explorer point (only available when using current impulse to populate data explorer)

GET /api/{projectId}/raw-data/data-explorer/predictions

Try it

Get data explorer predictions

cURL

curl --request GET \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/raw-data/data-explorer/predictions \
  --header 'x-api-key: <api-key>'

200

{
  "success": true,
  "predictions": [
    {
      "sampleId": 123,
      "startMs": 123,
      "endMs": 123,
      "prediction": "<string>",
      "label": "<string>",
      "predictionCorrect": true,
      "f1Score": 123,
      "anomalyScores": [
        [
          123
        ]
      ],
      "boundingBoxes": [
        {
          "label": "<string>",
          "x": 123,
          "y": 123,
          "width": 123,
          "height": 123,
          "score": 123
        }
      ]
    }
  ],
  "labels": [
    "<string>"
  ],
  "classificationType": "classification",
  "error": "<string>"
}

Authorizations

x-api-key · string · header · required

Path Parameters

projectId · integer · required

Project ID

Response

200 - application/json

OK

success · boolean · required

Whether the operation succeeded

predictions · object[] · required

Show child attributes

predictions. sampleId · integer · required

predictions. startMs · number · required

predictions. endMs · number · required

predictions. prediction · string · required

predictions. label · string

predictions. predictionCorrect · boolean

predictions. f1Score · number

Only set for object detection projects

predictions. anomalyScores · number[][]

Only set for visual anomaly projects. 2D array of shape (n, n) with raw anomaly scores, where n varies based on the image input size and the specific visual anomaly algorithm used. The scores corresponds to each grid cell in the image's spatial matrix.

predictions. boundingBoxes · object[]

Only set for object detection projects. Coordinates are scaled 0..1, not absolute values.

Show child attributes

predictions.boundingBoxes. label · string · required

predictions.boundingBoxes. x · number · required

predictions.boundingBoxes. y · number · required

predictions.boundingBoxes. width · number · required

predictions.boundingBoxes. height · number · required

predictions.boundingBoxes. score · number · required

labels · string[] · required

classificationType · enum<string> · required

Available options: classification, regression

error · string

Optional error description (set if 'success' was false)