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segments-ai

Segments.ai Python SDK

https://github.com/segments-ai/segments-ai

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.2%) to scientific vocabulary

Keywords

annotation computer-vision data-labeling dataset deep-learning image-annotation labeling-tool panoptic-segmentation pointcloud pointcloud-detection pointcloud-segmentation robotics semantic-segmentation
Last synced: 6 months ago · JSON representation ·

Repository

Segments.ai Python SDK

Basic Info
  • Host: GitHub
  • Owner: segments-ai
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage: http://segments.ai
  • Size: 5.16 MB
Statistics
  • Stars: 26
  • Watchers: 6
  • Forks: 9
  • Open Issues: 9
  • Releases: 153
Topics
annotation computer-vision data-labeling dataset deep-learning image-annotation labeling-tool panoptic-segmentation pointcloud pointcloud-detection pointcloud-segmentation robotics semantic-segmentation
Created about 6 years ago · Last pushed 8 months ago
Metadata Files
Readme License Citation

README.md



GitHub GitHub release Documentation Downloads

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.

Owner

  • Name: Segments.ai
  • Login: segments-ai
  • Kind: organization
  • Email: hello@segments.ai

Automating image labeling

Citation (CITATION.cff) 

cff-version: "1.0.0"
date-released: 2022-08
message: "If you use this software, please cite it using these metadata."
title: "Segments.ai - The training data platform for computer vision engineers"
url: "https://segments.ai/"
authors:
  - family-names: Segments.ai team

GitHub Events

Total
  • Create event: 46
  • Issues event: 4
  • Release event: 13
  • Watch event: 4
  • Delete event: 29
  • Member event: 1
  • Issue comment event: 2
  • Push event: 63
  • Pull request review comment event: 6
  • Pull request review event: 24
  • Pull request event: 67
Last Year
  • Create event: 46
  • Issues event: 4
  • Release event: 13
  • Watch event: 4
  • Delete event: 29
  • Member event: 1
  • Issue comment event: 2
  • Push event: 63
  • Pull request review comment event: 6
  • Pull request review event: 24
  • Pull request event: 67

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 699
  • Total Committers: 8
  • Avg Commits per committer: 87.375
  • Development Distribution Score (DDS): 0.615
Past Year
  • Commits: 282
  • Committers: 4
  • Avg Commits per committer: 70.5
  • Development Distribution Score (DDS): 0.284
Top Committers
Name Email Commits
Arnout Hillen a****t@s****i 269
segments-arnaud a****d@s****i 202
Bert De Brabandere d****t@g****m 201
Tobias Cornille t****s@s****i 19
Bert De Brabandere d****t 4
Ayman Saleh a****h@A****l 2
davyneven n****y@g****m 1
Arnout Hillen 9****t 1
Committer Domains (Top 20 + Academic)
segments.ai: 3

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 26
  • Total pull requests: 206
  • Average time to close issues: 21 days
  • Average time to close pull requests: 22 days
  • Total issue authors: 16
  • Total pull request authors: 8
  • Average comments per issue: 2.12
  • Average comments per pull request: 0.16
  • Merged pull requests: 176
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 31
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 days
  • Issue authors: 3
  • Pull request authors: 3
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.06
  • Merged pull requests: 24
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • stevensagaert (7)
  • v-prgmr (2)
  • Gijs-Koot (2)
  • stefgmz (2)
  • ssnirgudkar (2)
  • canders1 (1)
  • anitera (1)
  • M4r1u5K (1)
  • corentinflanders (1)
  • Zaherkorechi (1)
  • TimWindecker (1)
  • Yiiii19 (1)
  • drozzy (1)
  • goterria (1)
  • mantkiew (1)
Pull Request Authors
  • segments-arnaud (126)
  • dbbert (53)
  • TomRoussel (32)
  • segments-tobias (14)
  • jclaessens97 (6)
  • ayman-saleh (1)
  • davidfou (1)
  • ssnirgudkar (1)
Top Labels
Issue Labels
Pull Request Labels
patch (22) bug (12) feature (9) work in progress (9) wait for backend change (2) wait for frontend change (2) python 3.10 (2) documentation (1) deprecation (1) python 3.9 (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 14,384 last-month
  • Total dependent packages: 1
  • Total dependent repositories: 3
  • Total versions: 158
  • Total maintainers: 1
pypi.org: segments-ai
  • Versions: 158
  • Dependent Packages: 1
  • Dependent Repositories: 3
  • Downloads: 14,384 Last month
Rankings
Dependent packages count: 3.2%
Downloads: 4.1%
Average: 8.5%
Dependent repos count: 9.1%
Forks count: 12.0%
Stargazers count: 13.9%
Maintainers (1)
dbbert
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • Pillow *
  • numpy >=1.20
  • pydantic *
  • requests *
  • tqdm *
  • types-Pillow *
  • types-requests *
  • typing_extensions *
requirements_dev.txt pypi
  • black ==22.3.0 development
  • flake8 ==4.0.1 development
  • flynt ==0.76 development
  • isort ==5.10.1 development
  • mypy ==0.950 development
  • pre-commit ==2.20.0 development
  • pycocotools * development
  • pytest ==7.1.2 development
  • pytest-cov ==3.0.0 development
  • pytest-dotenv ==0.5.2 development
  • scikit-image * development
  • tox ==3.25.0 development
requirements_docs.txt pypi
  • autodoc_pydantic ==1.6.2
  • datasets ==2.3.1
  • furo ==2022.4.7
  • myst_parser ==0.17.2
  • sphinx ==4.5.0
  • sphinx-autobuild ==2021.3.14
  • sphinx-copybutton ==0.5.0
  • sphinx_autodoc_typehints ==1.18.1
.github/workflows/tests.yaml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
pyproject.toml pypi
setup.py pypi