cURL
curl --request POST \ --url https://studio.edgeimpulse.com/v1/api/{projectId}/classify/image \ --header 'Content-Type: multipart/form-data' \ --header 'x-api-key: <api-key>' \ --form image='@example-file'
{ "success": true, "error": "<string>", "result": {}, "boundingBoxes": [ { "label": "<string>", "x": 123, "y": 123, "width": 123, "height": 123, "score": 123 } ] }
Test out a trained impulse (using a posted image).
Project ID
Impulse ID. If this is unset then the default impulse is used.
OK
Whether the operation succeeded
Optional error description (set if 'success' was false)
Classification value per label. For a neural network this will be the confidence, for anomalies the anomaly score.
Show child attributes
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