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_incrementargument inutils.export_dataset()andutils.get_semantic_bitmap()is changed from 1 to 0. - Python 3.6 and lower are no longer supported.
2 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file segments_ai-1.31.0.tar.gz.
File metadata
- Download URL: segments_ai-1.31.0.tar.gz
- Upload date:
- Size: 67.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
86bb562f19077972144dcfcd98295ea19577fbbedd0f6acb28515d333a310e4a
|
|
| MD5 |
2639ce531f287757503119b8dec9bb33
|
|
| BLAKE2b-256 |
4b536dc96a33b6838bcb3ca774bf2addce36ca07d46ccc2d3a124f8cdb9eb43c
|
File details
Details for the file segments_ai-1.31.0-py3-none-any.whl.
File metadata
- Download URL: segments_ai-1.31.0-py3-none-any.whl
- Upload date:
- Size: 57.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a67bc8ae249b502ba0f9a830a02d957518136cac78db42686f0b7dcc3c2ae1a4
|
|
| MD5 |
361a9339426be649c6ce5e76853f7d8a
|
|
| BLAKE2b-256 |
15e2370c44c7a78b7c1d938a25ff06a64bfe1e41f2d25f45b1e565e3d4c61590
|
