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.
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Please refer to the documentation for usage instructions.
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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_incrementargument inutils.export_dataset()andutils.get_semantic_bitmap()is changed from 1 to 0. - Python 3.6 and lower are no longer supported.
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