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Hugging Face integration, Organization accounts, and more

July 14th, 2022 - 1 min -
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Collaborating with your team on Segments.ai just got even easier. Today, we’re launching organization accounts, which are shared accounts where teams can collaborate across datasets.

Organization accounts

When you sign in to Segments.ai, you do so with your personal account. With the launch of our new organization feature, multiple personal accounts can now collaborate on shared datasets by joining the same organization account, which owns the datasets.

As an administrator, you can manage the members of an organization by assigning them different roles. It’s also possible to have members automatically be added as labelers, reviewers, or admins to a newly created dataset in the organization.

Have a look at our docs on how to create an organization, add datasets to it, and manage its members.

Hugging Face integration

As an ML practitioner, unless you’ve been living in a hole in the ground, you’re surely familiar with Hugging Face. The company named after the cute 🤗 emoji takes the ML world by storm with its open-source libraries.

Hugging Face Datasets is one such popular library that makes working with machine-learning datasets much easier. It supports powerful data processing methods to quickly get your dataset ready for training deep learning models.

We’re excited to announce that it is now possible to export a Segments.ai dataset as a Hugging Face dataset, unlocking all these powerful features. Filter and sort your dataset, apply custom functions to its rows, export to a PyTorch or Tensorflow dataset, upload and share on the Hugging Face Hub, and more. All of this now becomes a breeze.

Other features and improvements

  • You can now annotate bounding boxes, polygons, polylines and keypoints in image sequence datasets. Bounding box annotations are interpolated between keyframes.
  • The sample locking system in the labeling queue is made more robust.

  • Bugfix for the unnecessary alpha channel being added to category colors upon dataset creation.

See all changes →

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