Prediction output format for Image Object Detection.
Attributes
Name
Description
ids
MutableSequence[int]
The resource IDs of the AnnotationSpecs that
had been identified, ordered by the confidence
score descendingly. It is the id segment instead
of full resource name.
display_names
MutableSequence[str]
The display names of the AnnotationSpecs that
had been identified, order matches the IDs.
confidences
MutableSequence[float]
The Model's confidences in correctness of the
predicted IDs, higher value means higher
confidence. Order matches the Ids.
bboxes
MutableSequence[google.protobuf.struct_pb2.ListValue]
Bounding boxes, i.e. the rectangles over the image, that
pinpoint the found AnnotationSpecs. Given in order that
matches the IDs. Each bounding box is an array of 4 numbers
xMin, xMax, yMin, and yMax, which represent
the extremal coordinates of the box. They are relative to
the image size, and the point 0,0 is in the top left of the
image.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Class ImageObjectDetectionPredictionResult (0.1.10)\n\nVersion latestkeyboard_arrow_down\n\n- [0.1.10 (latest)](/python/docs/reference/google-cloud-visionai/latest/google.cloud.visionai_v1alpha1.types.ImageObjectDetectionPredictionResult)\n- [0.1.8](/python/docs/reference/google-cloud-visionai/0.1.8/google.cloud.visionai_v1alpha1.types.ImageObjectDetectionPredictionResult) \n\n ImageObjectDetectionPredictionResult(\n mapping=None, *, ignore_unknown_fields=False, **kwargs\n )\n\nPrediction output format for Image Object Detection."]]