Output only. Expresses the type of video classification. Possible values:
segment - Classification done on a specified by user
time segment of a video. AnnotationSpec is answered to be present
in that time segment, if it is present in any part of it. The video
ML model evaluations are done only for this type of classification.
shot- Shot-level classification.
AutoML Video Intelligence determines the boundaries
for each camera shot in the entire segment of the video that user
specified in the request configuration. AutoML Video Intelligence
then returns labels and their confidence scores for each detected
shot, along with the start and end time of the shot.
WARNING: Model evaluation is not done for this classification type,
the quality of it depends on training data, but there are no
metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their
confidence scores for each second of the entire segment of the video
that user specified in the request configuration.
WARNING: Model evaluation is not done for this classification type,
the quality of it depends on training data, but there are no
metrics provided to describe that quality.
Output only. Expresses the type of video classification. Possible values:
segment - Classification done on a specified by user
time segment of a video. AnnotationSpec is answered to be present
in that time segment, if it is present in any part of it. The video
ML model evaluations are done only for this type of classification.
shot- Shot-level classification.
AutoML Video Intelligence determines the boundaries
for each camera shot in the entire segment of the video that user
specified in the request configuration. AutoML Video Intelligence
then returns labels and their confidence scores for each detected
shot, along with the start and end time of the shot.
WARNING: Model evaluation is not done for this classification type,
the quality of it depends on training data, but there are no
metrics provided to describe that quality.
1s_interval - AutoML Video Intelligence returns labels and their
confidence scores for each second of the entire segment of the video
that user specified in the request configuration.
WARNING: Model evaluation is not done for this classification type,
the quality of it depends on training data, but there are no
metrics provided to describe that quality.
[[["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 2025-01-27 UTC."],[],[]]
