---
title: "Get project dataset metadata"
method: GET
path: "/api/{projectId}/raw-data/project-metadata"
tags: ["Raw data"]
---

# Get project dataset metadata

`GET /api/{projectId}/raw-data/project-metadata`

## Request

- Base URL: `https://studio.edgeimpulse.com/v1`
- URL: `https://studio.edgeimpulse.com/v1/api/{projectId}/raw-data/project-metadata`
- Auth: one of:
  - API key in header `x-api-key`
  - API key in cookie `jwt`
  - API key in header `x-jwt-token`
  - OAuth 2
    - Authorization code: `/v1/oauth/authorize`
    - Client credentials
    - Implicit: `/v1/oauth/authorize`
    - Password
    - Token URL: `/v1/oauth/token`
- TypeScript: <https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/docs/api/:projectId/raw-data/project-metadata/get.ts> (a function with typed inputs; its response is checked against the schema)

Get the raw data metadata for this project

## Path parameters

- `projectId` integer, required

## Query parameters

- `datasetVersionId` integer
- `truncateLabels` boolean
- `includeDisabled` 'both' | 'enabled'

## Response `200`

OK

- GetRawDataProjectMetadataResponse
  - `success` boolean, required: Whether the operation succeeded
  - `error` string: Optional error description (set if 'success' was false)
  - `metadata` union, required
    - ProjectDatasetMetadataClasses: Overall dataset metadata info
      - `ratio` union, required
        - ProjectDatasetMetadataRatioNoRatio: Placeholder dataset ratio info when no ratio is available
          - `type` 'no-ratio', required
          - `hasValidationCategory` boolean, required
          - `count` ProjectDatasetMetadataRatioCount, required: Per-dataset data count
            - `training` integer, required
            - `testing` integer, required
            - `validation` integer, required
        - ProjectDatasetMetadataRatioClasses: Dataset ratio info for classification datasets
          - `type` 'classes', required
          - `hasValidationCategory` boolean, required
          - `trainingRatio` number, required
          - `testingRatio` number, required
          - `validationRatio` number, required
          - `showImbalanceTooltip` boolean, required
          - `showRebalanceDataset` boolean, required
          - `showTrainTestSplit` boolean, required
          - `invalidRatioClasses` ProjectDatasetMetadataRatioClass[]
            - `trainingRatio` number, required: Training dataset ratio
            - `testingRatio` number, required: Testing dataset ratio
            - `validationRatio` number, required: Validation dataset ratio
            - `label` string, required: Class name or label
            - `total` number, required: Total item count
            - `totalTraining` number, required: Total training dataset item count
            - `totalTesting` number, required: Total testing dataset item count
            - `totalValidation` number, required: Total validation dataset item count
            - `totalTrainingStr` string, required: Total training dataset item count, given as a UI-friendly string
            - `totalTestingStr` string, required: Total testing dataset item count, given as a UI-friendly string
            - `totalValidationStr` string, required: Total validation dataset item count, given as a UI-friendly string
          - `allRatioClasses` ProjectDatasetMetadataRatioClass[]
            - `trainingRatio` number, required: Training dataset ratio
            - `testingRatio` number, required: Testing dataset ratio
            - `validationRatio` number, required: Validation dataset ratio
            - `label` string, required: Class name or label
            - `total` number, required: Total item count
            - `totalTraining` number, required: Total training dataset item count
            - `totalTesting` number, required: Total testing dataset item count
            - `totalValidation` number, required: Total validation dataset item count
            - `totalTrainingStr` string, required: Total training dataset item count, given as a UI-friendly string
            - `totalTestingStr` string, required: Total testing dataset item count, given as a UI-friendly string
            - `totalValidationStr` string, required: Total validation dataset item count, given as a UI-friendly string
          - `categoryData` ProjectDatasetMetadataCategoryData[], required
            - `length` number, required: Total length
            - `category` 'training' | 'testing' | 'validation' | 'post-processing', required
            - `label` string, required: Data class name or label
          - `count` ProjectDatasetMetadataRatioCount, required: Per-dataset data count
            - `training` integer, required
            - `testing` integer, required
            - `validation` integer, required
        - ProjectDatasetMetadataRatioRegression: Dataset ratio info for regression datasets
          - `type` 'regression', required
          - `hasValidationCategory` boolean, required
          - `trainingRatio` number, required
          - `testingRatio` number, required
          - `validationRatio` number, required
          - `categoryData` ProjectDatasetMetadataCategoryData[], required
            - `length` number, required: Total length
            - `category` 'training' | 'testing' | 'validation' | 'post-processing', required
            - `label` string, required: Data class name or label
          - `count` ProjectDatasetMetadataRatioCount, required: Per-dataset data count
            - `training` integer, required
            - `testing` integer, required
            - `validation` integer, required
      - `labelQueueCount` integer, required
      - `totalItemCount` integer, required
      - `type` 'classes', required
      - `training` ProjectDatasetMetadataClassesCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'classes', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `fullLabelCount` integer, required
        - `labels` RawDataLabelDistributionLabel[], required
          - `label` string, required
          - `totalLength` integer, required: Total sample length for the label in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length for the label given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count for the label.
      - `testing` ProjectDatasetMetadataClassesCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'classes', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `fullLabelCount` integer, required
        - `labels` RawDataLabelDistributionLabel[], required
          - `label` string, required
          - `totalLength` integer, required: Total sample length for the label in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length for the label given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count for the label.
      - `validation` ProjectDatasetMetadataClassesCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'classes', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `fullLabelCount` integer, required
        - `labels` RawDataLabelDistributionLabel[], required
          - `label` string, required
          - `totalLength` integer, required: Total sample length for the label in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length for the label given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count for the label.
      - `postProcessing` ProjectDatasetMetadataClassesCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'classes', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `fullLabelCount` integer, required
        - `labels` RawDataLabelDistributionLabel[], required
          - `label` string, required
          - `totalLength` integer, required: Total sample length for the label in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length for the label given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count for the label.
      - `all` ProjectDatasetMetadataClassesCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'classes', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `fullLabelCount` integer, required
        - `labels` RawDataLabelDistributionLabel[], required
          - `label` string, required
          - `totalLength` integer, required: Total sample length for the label in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length for the label given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count for the label.
    - ProjectDatasetMetadataRegression: Overall dataset metadata info
      - `ratio` union, required
        - ProjectDatasetMetadataRatioNoRatio: Placeholder dataset ratio info when no ratio is available
          - `type` 'no-ratio', required
          - `hasValidationCategory` boolean, required
          - `count` ProjectDatasetMetadataRatioCount, required: Per-dataset data count
            - `training` integer, required
            - `testing` integer, required
            - `validation` integer, required
        - ProjectDatasetMetadataRatioClasses: Dataset ratio info for classification datasets
          - `type` 'classes', required
          - `hasValidationCategory` boolean, required
          - `trainingRatio` number, required
          - `testingRatio` number, required
          - `validationRatio` number, required
          - `showImbalanceTooltip` boolean, required
          - `showRebalanceDataset` boolean, required
          - `showTrainTestSplit` boolean, required
          - `invalidRatioClasses` ProjectDatasetMetadataRatioClass[]
            - `trainingRatio` number, required: Training dataset ratio
            - `testingRatio` number, required: Testing dataset ratio
            - `validationRatio` number, required: Validation dataset ratio
            - `label` string, required: Class name or label
            - `total` number, required: Total item count
            - `totalTraining` number, required: Total training dataset item count
            - `totalTesting` number, required: Total testing dataset item count
            - `totalValidation` number, required: Total validation dataset item count
            - `totalTrainingStr` string, required: Total training dataset item count, given as a UI-friendly string
            - `totalTestingStr` string, required: Total testing dataset item count, given as a UI-friendly string
            - `totalValidationStr` string, required: Total validation dataset item count, given as a UI-friendly string
          - `allRatioClasses` ProjectDatasetMetadataRatioClass[]
            - `trainingRatio` number, required: Training dataset ratio
            - `testingRatio` number, required: Testing dataset ratio
            - `validationRatio` number, required: Validation dataset ratio
            - `label` string, required: Class name or label
            - `total` number, required: Total item count
            - `totalTraining` number, required: Total training dataset item count
            - `totalTesting` number, required: Total testing dataset item count
            - `totalValidation` number, required: Total validation dataset item count
            - `totalTrainingStr` string, required: Total training dataset item count, given as a UI-friendly string
            - `totalTestingStr` string, required: Total testing dataset item count, given as a UI-friendly string
            - `totalValidationStr` string, required: Total validation dataset item count, given as a UI-friendly string
          - `categoryData` ProjectDatasetMetadataCategoryData[], required
            - `length` number, required: Total length
            - `category` 'training' | 'testing' | 'validation' | 'post-processing', required
            - `label` string, required: Data class name or label
          - `count` ProjectDatasetMetadataRatioCount, required: Per-dataset data count
            - `training` integer, required
            - `testing` integer, required
            - `validation` integer, required
        - ProjectDatasetMetadataRatioRegression: Dataset ratio info for regression datasets
          - `type` 'regression', required
          - `hasValidationCategory` boolean, required
          - `trainingRatio` number, required
          - `testingRatio` number, required
          - `validationRatio` number, required
          - `categoryData` ProjectDatasetMetadataCategoryData[], required
            - `length` number, required: Total length
            - `category` 'training' | 'testing' | 'validation' | 'post-processing', required
            - `label` string, required: Data class name or label
          - `count` ProjectDatasetMetadataRatioCount, required: Per-dataset data count
            - `training` integer, required
            - `testing` integer, required
            - `validation` integer, required
      - `labelQueueCount` integer, required
      - `totalItemCount` integer, required
      - `type` 'regression', required
      - `training` ProjectDatasetMetadataRegressionCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'regression', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `labelsCount` integer, required
        - `minLabel` number, required
        - `maxLabel` number, required
        - `valueGroups` RawDataLabelDistributionRegressionValueGroup[], required
          - `groupMin` number, required: Group minimum value
          - `groupMax` number, required: Group maximum value
          - `totalLength` integer, required: Total sample length within this group in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length within this group given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count within this group.
        - `groupsPerLabelMapKey` object
        - `fullLabelCount` integer, required
        - `fullLabelMax` number
        - `fullLabelMin` number
        - `fullLabelMean` number
      - `testing` ProjectDatasetMetadataRegressionCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'regression', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `labelsCount` integer, required
        - `minLabel` number, required
        - `maxLabel` number, required
        - `valueGroups` RawDataLabelDistributionRegressionValueGroup[], required
          - `groupMin` number, required: Group minimum value
          - `groupMax` number, required: Group maximum value
          - `totalLength` integer, required: Total sample length within this group in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length within this group given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count within this group.
        - `groupsPerLabelMapKey` object
        - `fullLabelCount` integer, required
        - `fullLabelMax` number
        - `fullLabelMin` number
        - `fullLabelMean` number
      - `validation` ProjectDatasetMetadataRegressionCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'regression', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `labelsCount` integer, required
        - `minLabel` number, required
        - `maxLabel` number, required
        - `valueGroups` RawDataLabelDistributionRegressionValueGroup[], required
          - `groupMin` number, required: Group minimum value
          - `groupMax` number, required: Group maximum value
          - `totalLength` integer, required: Total sample length within this group in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length within this group given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count within this group.
        - `groupsPerLabelMapKey` object
        - `fullLabelCount` integer, required
        - `fullLabelMax` number
        - `fullLabelMin` number
        - `fullLabelMean` number
      - `postProcessing` ProjectDatasetMetadataRegressionCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'regression', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `labelsCount` integer, required
        - `minLabel` number, required
        - `maxLabel` number, required
        - `valueGroups` RawDataLabelDistributionRegressionValueGroup[], required
          - `groupMin` number, required: Group minimum value
          - `groupMax` number, required: Group maximum value
          - `totalLength` integer, required: Total sample length within this group in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length within this group given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count within this group.
        - `groupsPerLabelMapKey` object
        - `fullLabelCount` integer, required
        - `fullLabelMax` number
        - `fullLabelMin` number
        - `fullLabelMean` number
      - `all` ProjectDatasetMetadataRegressionCategory, required: Dataset metadata info, for a particular data category, shared between classification and regression data types.
        - `type` 'regression', required
        - `totalLength` string, required
        - `totalLengthNumber` integer, required
        - `maxLengthMs` integer, required
        - `minLengthMs` integer, required
        - `minFrequency` integer, required
        - `maxFrequency` integer, required
        - `itemCount` integer, required
        - `isTimeseries` boolean, required
        - `isFeatures` boolean, required
        - `metadataFilterOptions` MetadataFilterOptions, required
          - `totalCount` integer, required
          - `count` integer, required
          - `optionsList` object[], required: Available metadata filter options that can be supplied to the /raw-data/ endpoint to filter samples
            - `key` string, required
            - `options` string[], required
        - `metadataKeys` string[], required: Full list of metadata keys in the project.
        - `changeActionCounts` object: Breakdown of the number of samples with mutation events in the dataset version.
          - `insert` number: Number of samples in this window with at least one insert mutation.
          - `update` number: Number of samples in this window with at least one update mutation.
          - `delete` number: Number of samples in this window with at least one delete mutation.
        - `labelsCount` integer, required
        - `minLabel` number, required
        - `maxLabel` number, required
        - `valueGroups` RawDataLabelDistributionRegressionValueGroup[], required
          - `groupMin` number, required: Group minimum value
          - `groupMax` number, required: Group maximum value
          - `totalLength` integer, required: Total sample length within this group in milliseconds. For data types without a duration-based total this may be 0.
          - `totalLengthStr` string, required: Total sample length within this group given as a UI-friendly formatted string.
          - `dataCount` integer, required: Total sample data count within this group.
        - `groupsPerLabelMapKey` object
        - `fullLabelCount` integer, required
        - `fullLabelMax` number
        - `fullLabelMin` number
        - `fullLabelMean` number

---

[API](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api.md) - [All operations](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/llms.txt) - [OpenAPI document](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/revisions/e2a976d38427?raw)