Release notes

v0.3.0 | April 4, 2023

Overview

At the core of the new version, H2O Label Genie improves and expands on its currently supported annotation tasks. These new improvements and expansions further expand the mission to offer a platform that enables you to generate labeled datasets supported in H2O Hydrogen Torch rapidly. To provide in-depth knowledge of image and text datasets, H2O Label Genie now supports the analysis of such datasets through clustering tasks that, for example, generate embeddings in 2D and 3D that can help you understand the data structure of the dataset. Among other things, you can now import data from H2O Drive.

To learn more about the new release, observe the below subsections.

UI & UX

• New: H2O Label Genie now supports several keyboard shortcuts that enable you to speed up the annotation process of a dataset (for example, the U key approves the annotated (labeled) sample to move to the next sample). To learn more, see Hotkeys.

Datasets

• New: Now, you can import datasets from H2O Drive. To learn more, see Dataset connectors.

Data exploration

• New: Now, you can explore an image or text dataset through a clustering task. A clustering task refers to finding and exploring groups in a dataset. To learn more, see Supported clustering tasks.

Annotation tasks

• New: H2O Label Genie now supports multi-label for all classification annotation tasks (for example, an image classification annotation task).
• New: H2O Label Genie now supports an instance segmentation annotation task. To learn more, see Supported annotation tasks: Image instance segmentation.
• New: H2O Label Genie now supports a text summarization annotation task. To learn more, see Supported annotation tasks: Text summarization.
• New: You can now download or export to H2O Drive already approved samples.
  • To learn how to download already approved samples, see Download an annotated dataset (approved samples).
  • To learn how to export already approved samples to H2O Drive, see Export an annotated dataset (approved samples) to H2O Drive.
• New: You can now download or export to H2O Drive generated zero-shot predictions (for certain annotation tasks)
  • To learn how to download an annotation task's zero-shot predictions, see Download a dataset's zero-shot predictions.
  • To learn how to export an annotation task's zero-shot predictions to H2O Drive, see Export a dataset's zero-shot predictions to H2O Drive.
• New: You can now review already approved samples. To learn more, see Review.
• Improvement: The statistics offered in the Statistis tab of an annotation task have been improved.

Documentation

• New: All new features and settings for v0.3.0 have been documented (which includes new tutorials for new annotation tasks).
• New: A new UI and UX for the documentation website are now available.

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