Config for video classification human labeling task.
Currently two types of video classification are supported:
Assign labels on the entire video.
Split the video into multiple video clips based on camera
shot, and assign labels on each video clip.
Attributes
Name
Description
annotation_spec_set_configs
MutableSequence[google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig.AnnotationSpecSetConfig]
Required. The list of annotation spec set
configs. Since watching a video clip takes much
longer time than an image, we support label with
multiple AnnotationSpecSet at the same time.
Labels in each AnnotationSpecSet will be shown
in a group to contributors. Contributors can
select one or more (depending on whether to
allow multi label) from each group.
apply_shot_detection
bool
Optional. Option to apply shot detection on
the video.
[[["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 2025-08-28 UTC."],[],[],null,["# Class VideoClassificationConfig (1.13.2)\n\nVersion latestkeyboard_arrow_down\n\n- [1.13.2 (latest)](/python/docs/reference/datalabeling/latest/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.13.1](/python/docs/reference/datalabeling/1.13.1/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.12.0](/python/docs/reference/datalabeling/1.12.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.11.1](/python/docs/reference/datalabeling/1.11.1/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.10.5](/python/docs/reference/datalabeling/1.10.5/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.9.0](/python/docs/reference/datalabeling/1.9.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.8.3](/python/docs/reference/datalabeling/1.8.3/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.7.0](/python/docs/reference/datalabeling/1.7.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.6.3](/python/docs/reference/datalabeling/1.6.3/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.5.2](/python/docs/reference/datalabeling/1.5.2/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.4.0](/python/docs/reference/datalabeling/1.4.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.3.0](/python/docs/reference/datalabeling/1.3.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.2.4](/python/docs/reference/datalabeling/1.2.4/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.1.0](/python/docs/reference/datalabeling/1.1.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [1.0.0](/python/docs/reference/datalabeling/1.0.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [0.4.2](/python/docs/reference/datalabeling/0.4.2/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [0.3.0](/python/docs/reference/datalabeling/0.3.0/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig)\n- [0.2.1](/python/docs/reference/datalabeling/0.2.1/google.cloud.datalabeling_v1beta1.types.VideoClassificationConfig) \n\n VideoClassificationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nConfig for video classification human labeling task.\nCurrently two types of video classification are supported:\n\n1. Assign labels on the entire video.\n2. Split the video into multiple video clips based on camera shot, and assign labels on each video clip.\n\nClasses\n-------\n\n### AnnotationSpecSetConfig\n\n AnnotationSpecSetConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nAnnotation spec set with the setting of allowing multi labels\nor not."]]
