Classify sample (deprecated)

Classify sample (deprecated)

get

This API is deprecated, use classifySampleV2 instead (/v1/api/{projectId}/classify/v2/{sampleId}). Classify a complete file against the current impulse. This will move the sliding window (dependent on the sliding window length and the sliding window increase parameters in the impulse) over the complete file, and classify for every window that is extracted.

Authorizations

ApiKeyAuthenticationJWTAuthenticationJWTHttpHeaderAuthentication

Path parameters

projectIdintegerrequired

Project ID

sampleIdintegerrequired

Sample ID

Query parameters

includeDebugInfobooleanoptional

Whether to return the debug information from FOMO classification.

impulseIdintegeroptional

Impulse ID. If this is unset then the default impulse is used.

Responses

application/json

all ofoptional

get

HTTPcURLJavaScriptPython

GET /v1/api/{projectId}/classify/{sampleId} HTTP/1.1
Host: studio.edgeimpulse.com
x-api-key: YOUR_API_KEY
Accept: */*

200

OK

{
  "success": true,
  "error": "text",
  "classifications": [
    {
      "learnBlock": {
        "id": 1,
        "type": "anomaly",
        "name": "NN Classifier",
        "dsp": [
          27
        ],
        "title": "Classification (Keras)",
        "description": "Reduced learning rate and more layers",
        "createdBy": "createImpulse",
        "createdAt": "2025-04-16T14:05:46.027Z"
      },
      "result": [
        {
          "idle": 0.0002,
          "wave": 0.9998,
          "anomaly": -0.42
        }
      ],
      "anomalyResult": [
        {
          "boxes": [
            {
              "label": "text",
              "x": 1,
              "y": 1,
              "width": 1,
              "height": 1,
              "score": 1
            }
          ],
          "scores": [
            [
              1
            ]
          ],
          "meanScore": 1,
          "maxScore": 1
        }
      ],
      "structuredResult": [
        {
          "boxes": [
            [
              1
            ]
          ],
          "labels": [
            "text"
          ],
          "scores": [
            1
          ],
          "mAP": 1,
          "f1": 1,
          "precision": 1,
          "recall": 1,
          "debugInfoJson": "{\n    \"y_trues\": [\n        {\"x\": 0.854, \"y\": 0.453125, \"label\": 1},\n        {\"x\": 0.197, \"y\": 0.53125, \"label\": 2}\n    ],\n    \"y_preds\": [\n        {\"x\": 0.916, \"y\": 0.875, \"label\": 1},\n        {\"x\": 0.25, \"y\": 0.541, \"label\": 2}\n    ],\n    \"assignments\": [\n        {\"yp\": 1, \"yt\": 1, \"label\": 2, \"distance\": 0.053}\n    ],\n    \"normalised_min_distance\": 0.2,\n    \"all_pairwise_distances\": [\n        [0, 0, 0.426],\n        [1, 1, 0.053]\n    ],\n    \"unassigned_y_true_idxs\": [0],\n    \"unassigned_y_pred_idxs\": [0]\n}\n"
        }
      ],
      "minimumConfidenceRating": 1,
      "details": [
        {
          "boxes": [
            [
              1
            ]
          ],
          "labels": [
            1
          ],
          "scores": [
            1
          ],
          "mAP": 1,
          "f1": 1
        }
      ],
      "objectDetectionLastLayer": "mobilenet-ssd",
      "expectedLabels": [
        {
          "startIndex": 1,
          "endIndex": 1,
          "label": "text"
        }
      ],
      "thresholds": [
        {
          "key": "min_score",
          "description": "Score threshold",
          "helpText": "Threshold score for bounding boxes. If the score for a bounding box is below this the box will be discarded.",
          "suggestedValue": 1,
          "suggestedValueText": "text",
          "value": 0.5
        }
      ]
    }
  ],
  "sample": {
    "sample": {
      "id": 2,
      "filename": "idle01.d8Ae",
      "signatureValidate": true,
      "signatureMethod": "HS256",
      "signatureKey": "text",
      "created": "2025-04-16T14:05:46.027Z",
      "lastModified": "2025-04-16T14:05:46.027Z",
      "category": "training",
      "coldstorageFilename": "text",
      "label": "healthy-machine",
      "intervalMs": 16,
      "frequency": 62.5,
      "originalIntervalMs": 16,
      "originalFrequency": 62.5,
      "deviceName": "text",
      "deviceType": "text",
      "sensors": [
        {
          "name": "accX",
          "units": "text"
        }
      ],
      "valuesCount": 1,
      "totalLengthMs": 1,
      "added": "2025-04-16T14:05:46.027Z",
      "boundingBoxes": [
        {
          "label": "text",
          "x": 1,
          "y": 1,
          "width": 1,
          "height": 1
        }
      ],
      "boundingBoxesType": "object_detection",
      "chartType": "chart",
      "thumbnailVideo": "text",
      "thumbnailVideoFull": "text",
      "isDisabled": true,
      "isProcessing": true,
      "processingJobId": 1,
      "processingError": true,
      "processingErrorString": "text",
      "isCropped": true,
      "metadata": {
        "ANY_ADDITIONAL_PROPERTY": "text"
      },
      "projectId": 1,
      "projectOwnerName": "text",
      "projectName": "text",
      "projectLabelingMethod": "single_label",
      "sha256Hash": "text",
      "structuredLabels": [
        {
          "startIndex": 1,
          "endIndex": 1,
          "label": "text"
        }
      ],
      "structuredLabelsList": [
        "text"
      ],
      "createdBySyntheticDataJobId": 1,
      "imageDimensions": {
        "width": 1,
        "height": 1
      }
    },
    "payload": {
      "device_name": "ac:87:a3:0a:2d:1b",
      "device_type": "DISCO-L475VG-IOT01A",
      "sensors": [
        {
          "name": "accX",
          "units": "text"
        }
      ],
      "values": [
        [
          1
        ]
      ],
      "cropStart": 0,
      "cropEnd": 128
    },
    "totalPayloadLength": 1
  },
  "windowSizeMs": 2996,
  "windowIncreaseMs": 10,
  "alreadyInDatabase": true,
  "warning": "text"
}