xtreme1.adoc

Xtreme1 Project Proposal

Name of project: Xtreme1

Requested project maturity level: Sandbox

Project description

Xtreme1 is the next generation open source platform for multisensory training data. It accelerates the modelling process by advanced AI-powered tools, thounsands projects distilled ontologies and plentiful data curation features. Xtreme1 provides value to the AI community by:

1. Supports labeling tools for image, 3D LiDAR point cloud, 2D/3D Fusion, etc.;

2. Supports pre-labeling and interactive labeling for 2D/3D object detection, segmentation and classification;

3. Ontology center for sharing AI problem definitions of object classes and data attributes in your model training;

4. Supports data visualization, organization, versioning, validation, consensus, analysis, etc.;

5. Supports engineer friendly open API and SDK for quick integration and development.

Statement on alignment with LF AI’s mission

Xtreme1 would help users to govern and crurate their training data with full open-source techonlogies. The LF AI & Data can help Xtreme1 to reach a wider audience of users and developers and become a sustainable project with long-term support.

Possible collaboration opportunities with current LF AI hosted projects

• Milvus: https://github.com/milvus-io/milvus

• ONNX: https://github.com/onnx/onnx

• Horovod: https://github.com/horovod/horovod

• Amundsen: https://github.com/amundsen-io/amundsen

License name

• Apache 2.0

Source control (GitHub, etc.)

• main repo

Issue tracker

• Github issues for checking issues and feature requests

Collaboration tools (mailing lists, wiki, IRC, Slack, Glitter, etc.)

• Github issues

• Slack channel

• Direct communication with the author by email

External dependencies including licenses (name and version) of those dependencies

• Please refer https://github.com/basicai/xtreme1/blob/master/NOTICE.md

Initial committers (name, email, organization) and how long have they been working on project

• Shilin Liu, [email protected], BasicAI, 10 months

• Jiajun Wang, [email protected], BasicAI, 10 months

• Yinbo Fan, [email protected], BasicAI, 10 months

• Xin Li, [email protected], BasicAI, 10 months

• Fangjie Wang, [email protected], BasicAI, 10 months

• Ziqian Zhang, [email protected], BasicAI, 10 months

• Dazhi Li, [email protected], BasicAI, 10 months

Does the project have a code of conduct

• Xtreme1 code of conduct.

Do you have any specific infrastructure requests needed as part of hosting the project in the LF AI?

• None

Project website

• https://xtreme1.io

Project governance

• Project committee will hold regular meeting to discuss the development requirements and future roadmap. Xtreme1 project committee is open to the community. External contributors are welcome to join the team.

Release methodology and mechanics

• Xtreme1 releases are well tested, packaged from stable branch main, and non-stable branch dev contains newest features.

• Project versioning follows the specification of [Semantic Versioning 2.0.0](https://semver.org/).

• Release criteria

  • Reported bugs should not have any critical issues.

  • All bugs, new features, enhancements must be tested.

  • All documents need to be reviewed with no broken link.

Existing sponsorship:

• BasicAI started and has been the main contributor to the project so far.