Edge Impulse Raw data API is one of 38 APIs that Edge Impulse publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
Tagged areas include Raw Data. The published artifact set on APIs.io includes an OpenAPI specification and API documentation.
This API exposes
66 operations
across 64 paths,
and defines 111 schemas.
It is described by OpenAPI 3.2.0, at version 1.0.0.
Requests are made against a single base URL, https://studio.edgeimpulse.com/v1.
The identity and technical contract details declared by the specification.
UploadImageRequest
object
1 property
1 required
GetDataExplorerFeaturesResponse
SplitSampleInFramesRequest
object
1 property
StoreSegmentLengthRequest
object
1 property
1 required
ModelPrediction
object
8 properties
4 required
SetSampleProposedChangesRequest
object
2 properties
2 required
ImpulseInputBlock
object
18 properties
5 required
CosineSimilarityIssue
object
Describes a sample that has potential issues as identified by the cosine similarity label noise detection method.
4 properties
3 required
GetDataExplorerSettingsResponse
StructuredLabel
object
A structured label contains a label, and the range for which this label is valid. endIndex is inclusive. E.g. { startIndex: 10, endIndex: 13, label: 'running'…
3 properties
3 required
GetAIActionsProposedChangesResponse
BatchAddMetadataRequest
object
2 properties
2 required
GenericApiResponse
object
2 properties
1 required
BatchClearMetadataByKeyRequest
object
1 property
1 required
ObjectDetectionLabelQueueCountResponse
GetAllImportedFromResponse
FindSegmentSampleRequest
object
2 properties
2 required
DataExplorerSettings
object
3 properties
ObjectDetectionAutoLabelResponse
EditSampleLabelRequest
object
1 property
GetLabelNoiseDataResponse
NeighborsData
object
Describes the results of running the nearest neighbors label noise detection method.
2 properties
2 required
Sensor
object
2 properties
2 required
DataExplorerPredictionsResponse
BoundingBox
object
This has the absolute values for x/y/w/h (so 0..x (where x is the w/h of the image))
5 properties
5 required
RawSamplePayload
object
Sensor readings and metadata
6 properties
3 required
Sample
object
41 properties
25 required
CropSampleRequest
object
2 properties
2 required
CosineSimilarityData
object
Describes the results of running the cosine similarity label noise detection method.
2 properties
2 required
SampleProposedChanges
object
5 properties
MoveRawDataRequest
object
1 property
1 required
RenameSampleRequest
object
1 property
1 required
HasDataExplorerFeaturesResponse
DatasetRatioData
object
1 property
CrossValidationData
object
Describes the results of running the cross validation label noise detection method.
1 property
1 required
RawSampleData
object
3 properties
3 required
GetSampleMetadataResponse
ProjectSampleMetadata
object
Project sample metadata
1 property
1 required
FindSegmentSampleResponse
NeighborsScore
object
Describes the label noise score and nearest neighbors for a single window of data in the project that shows a potential label noise issue.
6 properties
5 required
SampleBoundingBoxesRequest
object
1 property
1 required
SetSampleMetadataRequest
object
1 property
SampleMetadata
object
2 properties
2 required
SetSampleStructuredLabelsRequest
object
1 property
1 required
ObjectDetectionLabelQueueResponse
ObjectDetectionAutoLabelRequest
object
1 property
1 required
TrackObjectsRequest
object
2 properties
2 required
SegmentSampleRequest
object
1 property
1 required
ProjectDatasetMetadataClasses
GetDataExplorerFeaturesResponse_2
ImageInputResizeMode
string
Input images are resized automatically before training and testing, to match the impulse input shape. This determines the resize mode used when the aspect rati…
ProjectDatasetMetadataClassesCategory
ModelPrediction_2
object
10 properties
4 required
ImpulseInputBlock_2
object
19 properties
4 required
GetSampleMetadataFilterOptionsResponse
ImpulseInputBlockDatasetSubset
object
Only generate features for samples where (sampleid + datasetSubsetSeed) % datasetSubset) == 0
2 properties
1 required
DatasetSplitPreviewSection
object
4 properties
3 required
BoundingBoxWithScore
object
This has the ratio for x/y/w/h (so 0..1)
6 properties
6 required
StructuredLabel_2
object
A structured label contains a label, and the range for which this label is valid. endIndex is inclusive. E.g. { startIndex: 10, endIndex: 13, label: 'running'…
4 properties
3 required
BackToLabelingRequest
object
1 property
1 required
ProjectDatasetMetadataCategoryData
object
Dataset ratio info for a single category and label
3 properties
3 required
RawSampleDataStreamPayloads
object
1 property
1 required
GetRawDataProjectMetadataResponse
ProjectDatasetMetadataRatioRegression
object
Dataset ratio info for regression datasets
7 properties
7 required
ProjectDatasetMetadataRegressionCategory
RawDataFilterCategory
string
ProjectDatasetMetadataRatioClasses
object
Dataset ratio info for classification datasets
12 properties
10 required
DatasetSplitPreview
object
2 properties
2 required
Sensor_2
object
3 properties
3 required
DatasetSplitOptions
object
6 properties
2 required
ProjectLabelingMethod
string
RawDataLabelDistributionRegressionValueGroup
object
Shows a single "bucket" of the data distribution for a regression dataset.
5 properties
5 required
RawSamplePayload_2
object
Sensor readings and metadata
8 properties
5 required
DatasetSplitPreviewResponse
Sample_2
object
46 properties
26 required
SampleDatastream
object
8 properties
7 required
SetSampleVideoDimensionsRequest
object
2 properties
2 required
ProjectDatasetMetadataRatioNoRatio
object
Placeholder dataset ratio info when no ratio is available
3 properties
3 required
MoveRawDataRequest_2
object
1 property
1 required
LastUpdatedByProjectApiKey
object
The project API key that last updated a sample.
2 properties
2 required
MetadataFilterOptions
object
3 properties
3 required
SampleKeyValueLabels
object
2 properties
2 required
DatasetRatioData_2
object
1 property
1 required
DatasetSplitPreviewRow
object
6 properties
4 required
LastUpdatedByOAuthClient
object
The OAuth client that last updated a sample, and the user it is acting on behalf of.
3 properties
2 required
SampleLabelMapLabels
Structured sample labels in the form of a key-value map. This property is optional and only defined for samples with key-value labels.
RawDataLabelDistributionLabel
object
4 properties
4 required
RawSampleData_2
object
3 properties
3 required
RawDataLabelDistributionRegressionValueGroupsPerKey
object
Shows the data distribution for a regression dataset, for a particular label key.
4 properties
4 required
ProjectDatasetMetadataCommon
object
Overall dataset metadata info
3 properties
3 required
LastUpdatedByUser
object
The user who last updated a sample.
2 properties
2 required
ProjectDatasetMetadataRegression
ProjectDatasetMetadataRatioCount
object
Per-dataset data count
3 properties
3 required
ProjectDatasetMetadataRatioClass
object
Dataset ratio info for a single class
11 properties
11 required
LastUpdatedByDatasetVersionRestore
object
The dataset restore that last updated a sample.
4 properties
3 required
ObjectDetectionAutoLabelRequest_2
object
1 property
1 required
BatchEditBoundingBoxesRequest
object
2 properties
2 required
ProjectDatasetMetadataBase
object
Dataset metadata info, for a particular data category, shared between classification and regression data types.
13 properties
12 required
The full machine-readable OpenAPI contract behind this narrative.
Other APIs Edge Impulse publishes across the network.
