VideoClassificationConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Config for video classification human labeling task. Currently two types of video classification are supported: 1. 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 |
Sequence[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. |
Inheritance
builtins.object > proto.message.Message > VideoClassificationConfigClasses
AnnotationSpecSetConfig
AnnotationSpecSetConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Annotation spec set with the setting of allowing multi labels or not.