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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