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Segments.ai is the training data platform for computer vision engineers and labeling teams. Our powerful labeling interfaces, easy-to-use management features, and extensive API integrations help you iterate quickly between data labeling, model training and failure case discovery.

Quickstart

Walk through the Python SDK quickstart.

Documentation

Please refer to the documentation for usage instructions.

Blog

Read our blog posts to learn more about the platform.

Changelog

The most notable changes in v1.0 of the Python SDK compared to v0.73 include:

  • Added Python type hints and better auto-generated docs.
  • Improved error handling: functions now raise proper exceptions.
  • New functions for managing issues and collaborators.

You can upgrade to v1.0 with pip install -—upgrade segments-ai. Please be mindful of following breaking changes:

  • The client functions now return classes instead of dicts, so you should access properties using dot-based indexing (e.g. dataset.description) instead of dict-based indexing (e.g. dataset[’description’]).
  • Functions now consistently raise exceptions, instead of sometimes silently failing with a print statement. You might want to handle these exceptions with a try-except block.
  • Some legacy fields are no longer returned: dataset.tasks, dataset.task_readme, dataset.data_type.
  • The default value of the id_increment argument in utils.export_dataset() and utils.get_semantic_bitmap() is changed from 1 to 0.
  • Python 3.6 and lower are no longer supported.

Project links

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2 maintainers

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Avatar for dbbert from gravatar.com dbbert Avatar for TomRoussel from gravatar.com TomRoussel

Credits

Author: Bert De Branderere

License expression

MIT
View SPDX License List

Requires

Python >=3.9

Provides Extra

dev docs

Tags

image segmentation labeling vision

Classifiers

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