Supported annotation tasks
H2O Label Genie supports various annotation tasks in computer vision (CV) (image), natural language processing (NLP) (text), and audio.
Text annotation tasks​
Text classification​
In H2O Label Genie, for a text classification annotation task, you need to specify one or more categorical target labels to each input text.
- To accelerate the labeling process for text classification annotation tasks, H2O Label Genie offers the ability to utilize a zero-shot learning model. To learn more, see Zero-shot learning models.
Text regression​
In H2O Label Genie, for a text regression annotation task, you need to assign one continuous target label to each input text.
Text-entity recognition​
In H2O Label Genie, for a text-entity recognition annotation task, you need to assign one or more defined entities to each unstructured text input.
Image annotation tasks​
Image classification​
In H2O Label Genie, for an image classification annotation task, you need to assign one or more categorical target labels to each input image.
- To accelerate the labeling process for image classification annotation tasks, H2O Label Genie offers the ability to utilize a zero-shot learning model. To learn more, see Zero-shot learning models.
Image regression​
In H2O Label Genie, for an image regression annotation task, you need to assign one continuous target label to each input image.
Object detection​
In H2O Label Genie, for an object detection annotation task, you need to assign one or more object classes (labels) to each input image.
- To accelerate the labeling process for object detection annotation tasks, H2O Label Genie offers the ability to utilize a zero-shot learning model. To learn more, see Zero-shot learning models.
Audio annotation tasks​
Audio classification​
In H2O Label Genie, for an audio classification annotation task, you need to assign one or more categorical target labels to each input audio.
Audio regression​
In H2O Label Genie, for an audio regression annotation task, you need to assign one continuous target label to each input audio.
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