Comet Introduces Kangas, An Open Source Smart Data Exploration, Analysis and Model Debugging Tool for Machine Learning
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Wednesday, November 16, 2022
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Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way.
Key Points:
- Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way.
- A key component of data-centric Machine Learning is being able to understand how your training data impacts model results and where your model predictions are wrong, said Gideon Mendels, CEO and co-founder of Comet.
- Open Source: Kangas is 100% open source and is built by and for the ML community.
- Interoperability and flexibility are inherent in Comets value proposition, and Comet aims to expand on that value through open source contributions, added Mendels.