Each DetectedObject is one particular identification of an object
specified with the AnnotationSpec id and display_name, the bounding
box, the associated confidence score and the corresponding track_id.
Attributes
Name
Description
id
str
The resource ID of the AnnotationSpec that
had been identified.
display_name
str
The display name of the AnnotationSpec that
had been identified.
float
The Model's confidence in correction of this
identification, higher value means higher
confidence.
track_id
int
The same object may be identified on muitiple frames which
are typical adjacent. The set of frames where a particular
object has been detected form a track. This track_id can be
used to trace down all frames for an detected object.
[[["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 DetectedObject (0.1.10)\n\nVersion latestkeyboard_arrow_down\n\n- [0.1.10 (latest)](/python/docs/reference/google-cloud-visionai/latest/google.cloud.visionai_v1.types.VideoObjectTrackingPredictionResult.DetectedObject)\n- [0.1.8](/python/docs/reference/google-cloud-visionai/0.1.8/google.cloud.visionai_v1.types.VideoObjectTrackingPredictionResult.DetectedObject) \n\n DetectedObject(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nEach DetectedObject is one particular identification of an object\nspecified with the AnnotationSpec id and display_name, the bounding\nbox, the associated confidence score and the corresponding track_id."]]
